Patent Grant
11204787
The present disclosure relates generally to interfacing with applications, and more specifically to techniques for application integration with a digital assistant.
Digital assistants can help a user perform various functions on a user device. For example, digital assistants can set alarms, provide weather updates, and perform searches both locally and on the Internet, all while providing a natural-language interface to a user. Existing digital assistants, however, cannot effectively integrate with applications, such as those locally stored on the user device, and in particular, third-party applications. Accordingly, existing digital assistants cannot provide a natural-language interface with such applications.
Example methods are disclosed herein. An example method includes, at an electronic device having one or more processors and a touch-sensitive display, receiving an audio input including a natural-language user input, identifying an intent object of a set of intent objects, wherein the intent object is derived from the natural-language user input, identifying a software application associated with the intent object of the set of intent objects, providing the intent object to the software application to cause the software application to perform a task associated with the intent object, receiving, from the software application, a result response indicating whether the task was successfully performed, and providing an output indicating whether the task was performed.
An example method includes, at one or more electronic devices, each having one or more processors, receiving an audio input including a natural-language user input, obtaining a text string from the natural-language user input; determining an intent object of a set of intent objects based on the text string, determining a software application associated with the intent object of the set of intent objects, providing the intent object to the software application to cause the software application to perform a task associated with the intent object, receiving, from the software application, a result response indicating whether the task was successfully performed, and providing an output indicating whether the task was performed.
An example method includes, at an electronic device having one or more processors, receiving a natural-language user input, identifying a software application associated with the intent object of the set of intent objects, receiving, from a second electronic device, a task flow associated with the software application, providing the intent object to the software application to cause the software application to perform a task associated with the intent object, receiving a request from the software application, determining a query based on the request, wherein the query is determined in accordance with the task flow, providing the query using the touch-sensitive display, after providing the query, receiving a second user input indicative of a query response, and providing the query response to the software application.
An example method includes, at one or more electronic devices, each having one or more processors, determining an intent object of a set of intent objects, identifying a software application associated with the intent object of the set of intent objects, determining a task flow associated with the software application, providing the intent object to the software application to cause the software application to perform a task associated with the intent object, receiving a request from the software application, determining a query based on the request, wherein the query is determined in accordance with the task flow, providing the query using the touch-sensitive display, after providing the query, receiving a second user input indicative of a query response, and providing the query response to the software application.
Example non-transitory computer-readable media are disclosed herein. An example non-transitory computer-readable storage medium stores one or more programs. The one or more programs comprise instructions, which when executed by one or more processors of an electronic device, cause the electronic device to receive an audio input including a natural-language user input, identify an intent object of a set of intent objects, wherein the intent object is derived from the natural-language user input, identify a software application associated with the intent object of the set of intent objects, provide the intent object to the software application to cause the software application to perform a task associated with the intent object, receive, from the software application, a result response indicating whether the task was successfully performed, and provide an output indicating whether the task was performed.
An example non-transitory computer-readable storage medium stores one or more programs. The one or more programs comprise instructions, which when executed by one or more processors of an electronic device, cause the electronic device to receive an audio input including a natural-language user input, obtain a text string from the natural-language user input; determine an intent object of a set of intent objects based on the text string, determine a software application associated with the intent object of the set of intent objects, provide the intent object to the software application to cause the software application to perform a task associated with the intent object, receive, from the software application, a result response indicating whether the task was successfully performed, and provide an output indicating whether the task was performed.
Example non-transitory computer-readable storage media store one or more programs. The one or more programs comprise instructions, which when executed by one or more processors of one or more electronic devices, cause the one or more electronic devices to receive a natural-language user input, identify a software application associated with the intent object of the set of intent objects, receive, from a second electronic device, a task flow associated with the software application, provide the intent object to the software application to cause the software application to perform a task associated with the intent object, receive a request from the software application, determine a query based on the request, wherein the query is determined in accordance with the task flow, provide the query using the touch-sensitive display, after providing the query, receive a second user input indicative of a query response, and provide the query response to the software application.
Example non-transitory computer-readable storage media store one or more programs. The one or more programs comprise instructions, which when executed by one or more processors of one or more electronic devices, cause the one or more electronic devices to determine an intent object of a set of intent objects, identify a software application associated with the intent object of the set of intent objects, determine a task flow associated with the software application, provide the intent object to the software application to cause the software application to perform a task associated with the intent object, receive a request from the software application, determine a query based on the request, wherein the query is determined in accordance with the task flow, provide the query using the touch-sensitive display, after providing the query, receive a second user input indicative of a query response, and provide the query response to the software application.
Example electronic devices and systems are disclosed herein. An example electronic device comprises one or more processors; a memory; and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for receiving an audio input including a natural-language user input, identifying an intent object of a set of intent objects, wherein the intent object is derived from the natural-language user input, identifying a software application associated with the intent object of the set of intent objects, providing the intent object to the software application to cause the software application to perform a task associated with the intent object, receiving, from the software application, a result response indicating whether the task was successfully performed, and providing an output indicating whether the task was performed.
An example system includes one or more processors of one or more electronic devices; one or more memories of the one or more electronic devices; and one or more programs, where the one or more programs are stored in the one or more memories and configured to be executed by the one or more processors, the one or more programs including instructions for receiving an audio input including a natural-language user input, obtaining a text string from the natural-language user input; determining an intent object of a set of intent objects based on the text string, determining a software application associated with the intent object of the set of intent objects, providing the intent object to the software application to cause the software application to perform a task associated with the intent object, receiving, from the software application, a result response indicating whether the task was successfully performed, and providing an output indicating whether the task was performed.
An example electronic device comprises one or more processors; a memory; and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for receiving a natural-language user input, identifying a software application associated with the intent object of the set of intent objects, receiving, from a second electronic device, a task flow associated with the software application, providing the intent object to the software application to cause the software application to perform a task associated with the intent object, receiving a request from the software application, determining a query based on the request, wherein the query is determined in accordance with the task flow, providing the query using the touch-sensitive display, after providing the query, receiving a second user input indicative of a query response, and providing the query response to the software application.
An example system includes one or more processors of one or more electronic devices; one or more memories of the one or more electronic devices; and one or more programs, where the one or more programs are stored in the one or more memories and configured to be executed by the one or more processors, the one or more programs including instructions for determining an intent object of a set of intent objects, identifying a software application associated with the intent object of the set of intent objects, determining a task flow associated with the software application, providing the intent object to the software application to cause the software application to perform a task associated with the intent object, receiving a request from the software application, determining a query based on the request, wherein the query is determined in accordance with the task flow, providing the query using the touch-sensitive display, after providing the query, receiving a second user input indicative of a query response, and providing the query response to the software application.
An example electronic device comprises means for receiving an audio input including a natural-language user input, means for identifying an intent object of a set of intent objects, wherein the intent object is derived from the natural-language user input, means for identifying a software application associated with the intent object of the set of intent objects, means for providing the intent object to the software application to cause the software application to perform a task associated with the intent object, means for receiving, from the software application, a result response indicating whether the task was successfully performed, and means for providing an output indicating whether the task was performed.
An example system comprises means for receiving an audio input including a natural-language user input, means for obtaining a text string from the natural-language user input; means for determining an intent object of a set of intent objects based on the text string, means for determining a software application associated with the intent object of the set of intent objects, means for providing the intent object to the software application to cause the software application to perform a task associated with the intent object, means for receiving, from the software application, a result response indicating whether the task was successfully performed, and means for providing an output indicating whether the task was performed.
An example electronic device comprises means for receiving a natural-language user input, means for identifying a software application associated with the intent object of the set of intent objects, means for receiving, from a second electronic device, a task flow associated with the software application, means for providing the intent object to the software application to cause the software application to perform a task associated with the intent object, means for receiving a request from the software application, means for determining a query based on the request, wherein the query is determined in accordance with the task flow, means for providing the query using the touch-sensitive display, means for, after providing the query, receiving a second user input indicative of a query response, and means for providing the query response to the software application.
An example system comprises means for determining an intent object of a set of intent objects, means for identifying a software application associated with the intent object of the set of intent objects, means for determining a task flow associated with the software application, means for providing the intent object to the software application to cause the software application to perform a task associated with the intent object, means for receiving a request from the software application, means for determining a query based on the request, wherein the query is determined in accordance with the task flow, means for providing the query using the touch-sensitive display, means for, after providing the query, receiving a second user input indicative of a query response, and means for providing the query response to the software application.
For a better understanding of the various described embodiments, reference should be made to the Detailed Description below, in conjunction with the following drawings in which like reference numerals refer to corresponding parts throughout the figures.
In the following description of the disclosure and embodiments, reference is made to the accompanying drawings in which it is shown by way of illustration of specific embodiments that can be practiced. It is to be understood that other embodiments and examples can be practiced and changes can be made without departing from the scope of the disclosure.
Although the following description uses terms “first,” “second,” etc. to describe various elements, these elements should not be limited by the terms. These terms are only used to distinguish one element from another. For example, a first input could be termed a second input, and, similarly, a second input could be termed a first input, without departing from the scope of the various described examples. The first input and the second input can both be outputs and, in some cases, can be separate and different inputs.
The terminology used in the description of the various described examples herein is for the purpose of describing particular examples only and is not intended to be limiting. As used in the description of the various described examples and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will also be understood that the term “and/or” as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items. It will be further understood that the terms “includes,” “including,” “comprises,” and/or “comprising,” when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
The term “if” may be construed to mean “when” or “upon” or “in response to determining” or “in response to detecting,” depending on the context. Similarly, the phrase “if it is determined” or “if [a stated condition or event] is detected” may be construed to mean “upon determining” or “in response to determining” or “upon detecting [the stated condition or event]” or “in response to detecting [the stated condition or event],” depending on the context.
1. System and Environment
Specifically, a digital assistant can be capable of accepting a user request at least partially in the form of a natural language command, request, statement, narrative, and/or inquiry. Typically, the user request can seek either an informational answer or performance of a task by the digital assistant. A satisfactory response to the user request can be a provision of the requested informational answer, a performance of the requested task, or a combination of the two. For example, a user can ask the digital assistant a question, such as “Where am I right now?” Based on the user's current location, the digital assistant can answer, “You are in Central Park near the west gate.” The user can also request the performance of a task, for example, “Please invite my friends to my girlfriend's birthday party next week.” In response, the digital assistant can acknowledge the request by saying “Yes, right away,” and then send a suitable calendar invite on behalf of the user to each of the user's friends listed in the user's electronic address book. During performance of a requested task, the digital assistant can sometimes interact with the user in a continuous dialogue involving multiple exchanges of information over an extended period of time. There are numerous other ways of interacting with a digital assistant to request information or performance of various tasks. In addition to providing verbal responses and taking programmed actions, the digital assistant can also provide responses in other visual or audio forms, e.g., as text, alerts, music, videos, animations, etc.
As shown in
In some examples, DA server 106 can include client-facing I/O interface 112, one or more processing modules 114, data and models 116, and I/O interface to external services 118. The client-facing I/O interface 112 can facilitate the client-facing input and output processing for DA server 106. One or more processing modules 114 can utilize data and models 116 to process speech input and determine the user's intent based on natural language input. Further, one or more processing modules 114 perform task execution based on inferred user intent. In some examples, DA server 106 can communicate with external services 120 through network(s) 110 for task completion or information acquisition. I/O interface to external services 118 can facilitate such communications.
User device 104 can be any suitable electronic device. For example, user devices can be a portable multifunctional device (e.g., device 200, described below with reference to
Examples of communication network(s) 110 can include local area networks (LAN) and wide area networks (WAN), e.g., the Internet. Communication network(s) 110 can be implemented using any known network protocol, including various wired or wireless protocols, such as, for example, Ethernet, Universal Serial Bus (USB), FIREWIRE, Global System for Mobile Communications (GSM), Enhanced Data GSM Environment (EDGE), code division multiple access (CDMA), time division multiple access (TDMA), Bluetooth, Wi-Fi, voice over Internet Protocol (VoIP), Wi-MAX, or any other suitable communication protocol.
Server system 108 can be implemented on one or more standalone data processing apparatus or a distributed network of computers. In some examples, server system 108 can also employ various virtual devices and/or services of third-party service providers (e.g., third-party cloud service providers) to provide the underlying computing resources and/or infrastructure resources of server system 108.
In some examples, user device 104 can communicate with DA server 106 via second user device 122. Second user device 122 can be similar or identical to user device 104. For example, second user device 122 can be similar to devices 200, 400, or 600 described below with reference to
In some examples, user device 104 can be configured to communicate abbreviated requests for data to second user device 122 to reduce the amount of information transmitted from user device 104. Second user device 122 can be configured to determine supplemental information to add to the abbreviated request to generate a complete request to transmit to DA server 106. This system architecture can advantageously allow user device 104 having limited communication capabilities and/or limited battery power (e.g., a watch or a similar compact electronic device) to access services provided by DA server 106 by using second user device 122, having greater communication capabilities and/or battery power (e.g., a mobile phone, laptop computer, tablet computer, or the like), as a proxy to DA server 106. While only two user devices 104 and 122 are shown in
Although the digital assistant shown in
2. Electronic Devices
Attention is now directed toward embodiments of electronic devices for implementing the client-side portion of a digital assistant.
As used in the specification and claims, the term “intensity” of a contact on a touch-sensitive surface refers to the force or pressure (force per unit area) of a contact (e.g., a finger contact) on the touch-sensitive surface, or to a substitute (proxy) for the force or pressure of a contact on the touch-sensitive surface. The intensity of a contact has a range of values that includes at least four distinct values and more typically includes hundreds of distinct values (e.g., at least 256). Intensity of a contact is, optionally, determined (or measured) using various approaches and various sensors or combinations of sensors. For example, one or more force sensors underneath or adjacent to the touch-sensitive surface are, optionally, used to measure force at various points on the touch-sensitive surface. In some implementations, force measurements from multiple force sensors are combined (e.g., a weighted average) to determine an estimated force of a contact. Similarly, a pressure-sensitive tip of a stylus is, optionally, used to determine a pressure of the stylus on the touch-sensitive surface. Alternatively, the size of the contact area detected on the touch-sensitive surface and/or changes thereto, the capacitance of the touch-sensitive surface proximate to the contact and/or changes thereto, and/or the resistance of the touch-sensitive surface proximate to the contact and/or changes thereto are, optionally, used as a substitute for the force or pressure of the contact on the touch-sensitive surface. In some implementations, the substitute measurements for contact force or pressure are used directly to determine whether an intensity threshold has been exceeded (e.g., the intensity threshold is described in units corresponding to the substitute measurements). In some implementations, the substitute measurements for contact force or pressure are converted to an estimated force or pressure, and the estimated force or pressure is used to determine whether an intensity threshold has been exceeded (e.g., the intensity threshold is a pressure threshold measured in units of pressure). Using the intensity of a contact as an attribute of a user input allows for user access to additional device functionality that may otherwise not be accessible by the user on a reduced-size device with limited real estate for displaying affordances (e.g., on a touch-sensitive display) and/or receiving user input (e.g., via a touch-sensitive display, a touch-sensitive surface, or a physical/mechanical control such as a knob or a button).
As used in the specification and claims, the term “tactile output” refers to physical displacement of a device relative to a previous position of the device, physical displacement of a component (e.g., a touch-sensitive surface) of a device relative to another component (e.g., housing) of the device, or displacement of the component relative to a center of mass of the device that will be detected by a user with the user's sense of touch. For example, in situations where the device or the component of the device is in contact with a surface of a user that is sensitive to touch (e.g., a finger, palm, or other part of a user's hand), the tactile output generated by the physical displacement will be interpreted by the user as a tactile sensation corresponding to a perceived change in physical characteristics of the device or the component of the device. For example, movement of a touch-sensitive surface (e.g., a touch-sensitive display or trackpad) is, optionally, interpreted by the user as a “down click” or “up click” of a physical actuator button. In some cases, a user will feel a tactile sensation such as an “down click” or “up click” even when there is no movement of a physical actuator button associated with the touch-sensitive surface that is physically pressed (e.g., displaced) by the user's movements. As another example, movement of the touch-sensitive surface is, optionally, interpreted or sensed by the user as “roughness” of the touch-sensitive surface, even when there is no change in smoothness of the touch-sensitive surface. While such interpretations of touch by a user will be subject to the individualized sensory perceptions of the user, there are many sensory perceptions of touch that are common to a large majority of users. Thus, when a tactile output is described as corresponding to a particular sensory perception of a user (e.g., an “up click,” a “down click,” “roughness”), unless otherwise stated, the generated tactile output corresponds to physical displacement of the device or a component thereof that will generate the described sensory perception for a typical (or average) user.
It should be appreciated that device 200 is only one example of a portable multifunction device, and that device 200 optionally has more or fewer components than shown, optionally combines two or more components, or optionally has a different configuration or arrangement of the components. The various components shown in
Memory 202 may include one or more computer-readable storage mediums. The computer-readable storage mediums may be tangible and non-transitory. Memory 202 may include high-speed random access memory and may also include non-volatile memory, such as one or more magnetic disk storage devices, flash memory devices, or other non-volatile solid-state memory devices. Memory controller 222 may control access to memory 202 by other components of device 200.
In some examples, a non-transitory computer-readable storage medium of memory 202 can be used to store instructions (e.g., for performing aspects of process 1100, described below) for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. In other examples, the instructions (e.g., for performing aspects of process 1100, described below) can be stored on a non-transitory computer-readable storage medium (not shown) of the server system 108 or can be divided between the non-transitory computer-readable storage medium of memory 202 and the non-transitory computer-readable storage medium of server system 108. In the context of this document, a “non-transitory computer-readable storage medium” can be any medium that can contain or store the program for use by or in connection with the instruction execution system, apparatus, or device.
Peripherals interface 218 can be used to couple input and output peripherals of the device to CPU 220 and memory 202. The one or more processors 220 run or execute various software programs and/or sets of instructions stored in memory 202 to perform various functions for device 200 and to process data. In some embodiments, peripherals interface 218, CPU 220, and memory controller 222 may be implemented on a single chip, such as chip 204. In some other embodiments, they may be implemented on separate chips.
RF (radio frequency) circuitry 208 receives and sends RF signals, also called electromagnetic signals. RF circuitry 208 converts electrical signals to/from electromagnetic signals and communicates with communications networks and other communications devices via the electromagnetic signals. RF circuitry 208 optionally includes well-known circuitry for performing these functions, including but not limited to an antenna system, an RF transceiver, one or more amplifiers, a tuner, one or more oscillators, a digital signal processor, a CODEC chipset, a subscriber identity module (SIM) card, memory, and so forth. RF circuitry 208 optionally communicates with networks, such as the Internet, also referred to as the World Wide Web (WWW), an intranet and/or a wireless network, such as a cellular telephone network, a wireless local area network (LAN) and/or a metropolitan area network (MAN), and other devices by wireless communication. The RF circuitry 208 optionally includes well-known circuitry for detecting near field communication (NFC) fields, such as by a short-range communication radio. The wireless communication optionally uses any of a plurality of communications standards, protocols, and technologies, including but not limited to Global System for Mobile Communications (GSM), Enhanced Data GSM Environment (EDGE), high-speed downlink packet access (HSDPA), high-speed uplink packet access (HSUPA), Evolution, Data-Only (EV-DO), HSPA, HSPA+, Dual-Cell HSPA (DC-HSPDA), long term evolution (LTE), near field communication (NFC), wideband code division multiple access (W-CDMA), code division multiple access (CDMA), time division multiple access (TDMA), Bluetooth, Bluetooth Low Energy (BTLE), Wireless Fidelity (Wi-Fi) (e.g., IEEE 802.11a, IEEE 802.11b, IEEE 802.11g, IEEE 802.11n, and/or IEEE 802.11ac), voice over Internet Protocol (VoIP), Wi-MAX, a protocol for e mail (e.g., Internet message access protocol (IMAP) and/or post office protocol (POP)), instant messaging (e.g., extensible messaging and presence protocol (XMPP), Session Initiation Protocol for Instant Messaging and Presence Leveraging Extensions (SIMPLE), Instant Messaging and Presence Service (IMPS)), and/or Short Message Service (SMS), or any other suitable communication protocol, including communication protocols not yet developed as of the filing date of this document.
Audio circuitry 210, speaker 211, and microphone 213 provide an audio interface between a user and device 200. Audio circuitry 210 receives audio data from peripherals interface 218, converts the audio data to an electrical signal, and transmits the electrical signal to speaker 211. Speaker 211 converts the electrical signal to human-audible sound waves. Audio circuitry 210 also receives electrical signals converted by microphone 213 from sound waves. Audio circuitry 210 converts the electrical signal to audio data and transmits the audio data to peripherals interface 218 for processing. Audio data may be retrieved from and/or transmitted to memory 202 and/or RF circuitry 208 by peripherals interface 218. In some embodiments, audio circuitry 210 also includes a headset jack (e.g., 312,
I/O subsystem 206 couples input/output peripherals on device 200, such as touch screen 212 and other input control devices 216, to peripherals interface 218. I/O subsystem 206 optionally includes display controller 256, optical sensor controller 258, intensity sensor controller 259, haptic feedback controller 261, and one or more input controllers 260 for other input or control devices. The one or more input controllers 260 receive/send electrical signals from/to other input control devices 216. The other input control devices 216 optionally include physical buttons (e.g., push buttons, rocker buttons, etc.), dials, slider switches, joysticks, click wheels, and so forth. In some alternate embodiments, input controller(s) 260 are, optionally, coupled to any (or none) of the following: a keyboard, an infrared port, a USB port, and a pointer device such as a mouse. The one or more buttons (e.g., 308,
A quick press of the push button may disengage a lock of touch screen 212 or begin a process that uses gestures on the touch screen to unlock the device, as described in U.S. patent application Ser. No. 11/322,549, “Unlocking a Device by Performing Gestures on an Unlock Image,” filed Dec. 23, 2005, U.S. Pat. No. 7,657,849, which is hereby incorporated by reference in its entirety. A longer press of the push button (e.g., 306) may turn power to device 200 on or off. The user may be able to customize a functionality of one or more of the buttons. Touch screen 212 is used to implement virtual or soft buttons and one or more soft keyboards.
Touch-sensitive display 212 provides an input interface and an output interface between the device and a user. Display controller 256 receives and/or sends electrical signals from/to touch screen 212. Touch screen 212 displays visual output to the user. The visual output may include graphics, text, icons, video, and any combination thereof (collectively termed “graphics”). In some embodiments, some or all of the visual output may correspond to user-interface objects.
Touch screen 212 has a touch-sensitive surface, sensor, or set of sensors that accepts input from the user based on haptic and/or tactile contact. Touch screen 212 and display controller 256 (along with any associated modules and/or sets of instructions in memory 202) detect contact (and any movement or breaking of the contact) on touch screen 212 and convert the detected contact into interaction with user-interface objects (e.g., one or more soft keys, icons, web pages, or images) that are displayed on touch screen 212. In an exemplary embodiment, a point of contact between touch screen 212 and the user corresponds to a finger of the user.
Touch screen 212 may use LCD (liquid crystal display) technology, LPD (light emitting polymer display) technology, or LED (light emitting diode) technology, although other display technologies may be used in other embodiments. Touch screen 212 and display controller 256 may detect contact and any movement or breaking thereof using any of a plurality of touch sensing technologies now known or later developed, including but not limited to capacitive, resistive, infrared, and surface acoustic wave technologies, as well as other proximity sensor arrays or other elements for determining one or more points of contact with touch screen 212. In an exemplary embodiment, projected mutual capacitance sensing technology is used, such as that found in the iPhone® and iPod Touch® from Apple Inc. of Cupertino, Calif.
A touch-sensitive display in some embodiments of touch screen 212 may be analogous to the multi-touch sensitive touchpads described in the following U.S. Pat. No. 6,323,846 (Westerman et al.), U.S. Pat. No. 6,570,557 (Westerman et al.), and/or U.S. Pat. No. 6,677,932 (Westerman), and/or U.S. Patent Publication 2002/0015024A1, each of which is hereby incorporated by reference in its entirety. However, touch screen 212 displays visual output from device 200, whereas touch-sensitive touchpads do not provide visual output.
A touch-sensitive display in some embodiments of touch screen 212 may be as described in the following applications: (1) U.S. patent application Ser. No. 11/381,313, “Multipoint Touch Surface Controller,” filed May 2, 2006; (2) U.S. patent application Ser. No. 10/840,862, “Multipoint Touchscreen,” filed May 6, 2004; (3) U.S. patent application Ser. No. 10/903,964, “Gestures For Touch Sensitive Input Devices,” filed Jul. 30, 2004; (4) U.S. patent application Ser. No. 11/048,264, “Gestures For Touch Sensitive Input Devices,” filed Jan. 31, 2005; (5) U.S. patent application Ser. No. 11/038,590, “Mode-Based Graphical User Interfaces For Touch Sensitive Input Devices,” filed Jan. 18, 2005; (6) U.S. patent application Ser. No. 11/228,758, “Virtual Input Device Placement On A Touch Screen User Interface,” filed Sep. 16, 2005; (7) U.S. patent application Ser. No. 11/228,700, “Operation Of A Computer With A Touch Screen Interface,” filed Sep. 16, 2005; (8) U.S. patent application Ser. No. 11/228,737, “Activating Virtual Keys Of A Touch-Screen Virtual Keyboard,” filed Sep. 16, 2005, and (9) U.S. patent application Ser. No. 11/367,749, “Multi-Functional Hand-Held Device,” filed Mar. 3, 2006. All of these applications are incorporated by reference herein in their entirety.
Touch screen 212 may have a video resolution in excess of 100 dpi. In some embodiments, the touch screen has a video resolution of approximately 160 dpi. The user may make contact with touch screen 212 using any suitable object or appendage, such as a stylus, a finger, and so forth. In some embodiments, the user interface is designed to work primarily with finger-based contacts and gestures, which can be less precise than stylus-based input due to the larger area of contact of a finger on the touch screen. In some embodiments, the device translates the rough finger-based input into a precise pointer/cursor position or command for performing the actions desired by the user.
In some embodiments, in addition to the touch screen, device 200 may include a touchpad (not shown) for activating or deactivating particular functions. In some embodiments, the touchpad is a touch-sensitive area of the device that, unlike the touch screen, does not display visual output. The touchpad may be a touch-sensitive surface that is separate from touch screen 212 or an extension of the touch-sensitive surface formed by the touch screen.
Device 200 also includes power system 262 for powering the various components. Power system 262 may include a power management system, one or more power sources (e.g., battery, alternating current (AC)), a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator (e.g., a light-emitting diode (LED)) and any other components associated with the generation, management and distribution of power in portable devices.
Device 200 may also include one or more optical sensors 264.
Device 200 optionally also includes one or more contact intensity sensors 265.
Device 200 may also include one or more proximity sensors 266.
Device 200 optionally also includes one or more tactile output generators 267.
Device 200 may also include one or more accelerometers 268.
In some embodiments, the software components stored in memory 202 include operating system 226, communication module (or set of instructions) 228, contact/motion module (or set of instructions) 230, graphics module (or set of instructions) 232, text input module (or set of instructions) 234, Global Positioning System (GPS) module (or set of instructions) 235, Digital Assistant Client Module 229, and applications (or sets of instructions) 236. Further, memory 202 can store data and models, such as user data and models 231. Furthermore, in some embodiments, memory 202 (
Operating system 226 (e.g., Darwin, RTXC, LINUX, UNIX, OS X, iOS, WINDOWS, or an embedded operating system such as VxWorks) includes various software components and/or drivers for controlling and managing general system tasks (e.g., memory management, storage device control, power management, etc.) and facilitates communication between various hardware and software components.
Communication module 228 facilitates communication with other devices over one or more external ports 224 and also includes various software components for handling data received by RF circuitry 208 and/or external port 224. External port 224 (e.g., Universal Serial Bus (USB), FIREWIRE, etc.) is adapted for coupling directly to other devices or indirectly over a network (e.g., the Internet, wireless LAN, etc.). In some embodiments, the external port is a multi-pin (e.g., 30-pin) connector that is the same as, or similar to and/or compatible with, the 30-pin connector used on iPod® (trademark of Apple Inc.) devices.
Contact/motion module 230 optionally detects contact with touch screen 212 (in conjunction with display controller 256) and other touch-sensitive devices (e.g., a touchpad or physical click wheel). Contact/motion module 230 includes various software components for performing various operations related to detection of contact, such as determining if contact has occurred (e.g., detecting a finger-down event), determining an intensity of the contact (e.g., the force or pressure of the contact or a substitute for the force or pressure of the contact), determining if there is movement of the contact and tracking the movement across the touch-sensitive surface (e.g., detecting one or more finger-dragging events), and determining if the contact has ceased (e.g., detecting a finger-up event or a break in contact). Contact/motion module 230 receives contact data from the touch-sensitive surface. Determining movement of the point of contact, which is represented by a series of contact data, optionally includes determining speed (magnitude), velocity (magnitude and direction), and/or an acceleration (a change in magnitude and/or direction) of the point of contact. These operations are, optionally, applied to single contacts (e.g., one finger contacts) or to multiple simultaneous contacts (e.g., “multitouch”/multiple finger contacts). In some embodiments, contact/motion module 230 and display controller 256 detect contact on a touchpad.
In some embodiments, contact/motion module 230 uses a set of one or more intensity thresholds to determine whether an operation has been performed by a user (e.g., to determine whether a user has “clicked” on an icon). In some embodiments, at least a subset of the intensity thresholds are determined in accordance with software parameters (e.g., the intensity thresholds are not determined by the activation thresholds of particular physical actuators and can be adjusted without changing the physical hardware of device 200). For example, a mouse “click” threshold of a trackpad or touch screen display can be set to any of a large range of predefined threshold values without changing the trackpad or touch screen display hardware. Additionally, in some implementations, a user of the device is provided with software settings for adjusting one or more of the set of intensity thresholds (e.g., by adjusting individual intensity thresholds and/or by adjusting a plurality of intensity thresholds at once with a system-level click “intensity” parameter).
Contact/motion module 230 optionally detects a gesture input by a user. Different gestures on the touch-sensitive surface have different contact patterns (e.g., different motions, timings, and/or intensities of detected contacts). Thus, a gesture is, optionally, detected by detecting a particular contact pattern. For example, detecting a finger tap gesture includes detecting a finger-down event followed by detecting a finger-up (liftoff) event at the same position (or substantially the same position) as the finger-down event (e.g., at the position of an icon). As another example, detecting a finger swipe gesture on the touch-sensitive surface includes detecting a finger-down event followed by detecting one or more finger-dragging events, and subsequently followed by detecting a finger-up (liftoff) event.
Graphics module 232 includes various known software components for rendering and displaying graphics on touch screen 212 or other display, including components for changing the visual impact (e.g., brightness, transparency, saturation, contrast, or other visual property) of graphics that are displayed. As used herein, the term “graphics” includes any object that can be displayed to a user, including, without limitation, text, web pages, icons (such as user-interface objects including soft keys), digital images, videos, animations, and the like.
In some embodiments, graphics module 232 stores data representing graphics to be used. Each graphic is, optionally, assigned a corresponding code. Graphics module 232 receives, from applications etc., one or more codes specifying graphics to be displayed along with, if necessary, coordinate data and other graphic property data, and then generates screen image data to output to display controller 256.
Haptic feedback module 233 includes various software components for generating instructions used by tactile output generator(s) 267 to produce tactile outputs at one or more locations on device 200 in response to user interactions with device 200.
Text input module 234, which may be a component of graphics module 232, provides soft keyboards for entering text in various applications (e.g., contacts 237, e mail 240, IM 241, browser 247, and any other application that needs text input).
GPS module 235 determines the location of the device and provides this information for use in various applications (e.g., to telephone 238 for use in location-based dialing; to camera 243 as picture/video metadata; and to applications that provide location-based services such as weather widgets, local yellow page widgets, and map/navigation widgets).
Digital assistant client module 229 can include various client-side digital assistant instructions to provide the client-side functionalities of the digital assistant. For example, digital assistant client module 229 can be capable of accepting voice input (e.g., speech input), text input, touch input, and/or gestural input through various user interfaces (e.g., microphone 213, accelerometer(s) 268, touch-sensitive display system 212, optical sensor(s) 229, other input control devices 216, etc.) of portable multifunction device 200. Digital assistant client module 229 can also be capable of providing output in audio (e.g., speech output), visual, and/or tactile forms through various output interfaces (e.g., speaker 211, touch-sensitive display system 212, tactile output generator(s) 267, etc.) of portable multifunction device 200. For example, output can be provided as voice, sound, alerts, text messages, menus, graphics, videos, animations, vibrations, and/or combinations of two or more of the above. During operation, digital assistant client module 229 can communicate with DA server 106 using RF circuitry 208.
User data and models 231 can include various data associated with the user (e.g., user-specific vocabulary data, user preference data, user-specified name pronunciations, data from the user's electronic address book, to-do lists, shopping lists, etc.) to provide the client-side functionalities of the digital assistant. Further, user data and models 231 can includes various models (e.g., speech recognition models, statistical language models, natural language processing models, ontology, task flow models, service models, etc.) for processing user input and determining user intent.
In some examples, digital assistant client module 229 can utilize the various sensors, subsystems, and peripheral devices of portable multifunction device 200 to gather additional information from the surrounding environment of the portable multifunction device 200 to establish a context associated with a user, the current user interaction, and/or the current user input. In some examples, digital assistant client module 229 can provide the contextual information or a subset thereof with the user input to DA server 106 to help infer the user's intent. In some examples, the digital assistant can also use the contextual information to determine how to prepare and deliver outputs to the user. Contextual information can be referred to as context data.
In some examples, the contextual information that accompanies the user input can include sensor information, e.g., lighting, ambient noise, ambient temperature, images or videos of the surrounding environment, etc. In some examples, the contextual information can also include the physical state of the device, e.g., device orientation, device location, device temperature, power level, speed, acceleration, motion patterns, cellular signals strength, etc. In some examples, information related to the software state of DA server 106, e.g., running processes, installed programs, past and present network activities, background services, error logs, resources usage, etc., and of portable multifunction device 200 can be provided to DA server 106 as contextual information associated with a user input.
In some examples, the digital assistant client module 229 can selectively provide information (e.g., user data 231) stored on the portable multifunction device 200 in response to requests from DA server 106. In some examples, digital assistant client module 229 can also elicit additional input from the user via a natural language dialogue or other user interfaces upon request by DA server 106. Digital assistant client module 229 can pass the additional input to DA server 106 to help DA server 106 in intent deduction and/or fulfillment of the user's intent expressed in the user request.
A more detailed description of a digital assistant is described below with reference to
Applications 236 may include the following modules (or sets of instructions), or a subset or superset thereof:
Examples of other applications 236 that may be stored in memory 202 include other word processing applications, other image editing applications, drawing applications, presentation applications, JAVA-enabled applications, encryption, digital rights management, voice recognition, and voice replication.
In conjunction with touch screen 212, display controller 256, contact/motion module 230, graphics module 232, and text input module 234, contacts module 237 may be used to manage an address book or contact list (e.g., stored in application internal state 292 of contacts module 237 in memory 202 or memory 470), including: adding name(s) to the address book; deleting name(s) from the address book; associating telephone number(s), email address(es), physical address(es) or other information with a name; associating an image with a name; categorizing and sorting names; providing telephone numbers or email addresses to initiate and/or facilitate communications by telephone 238, video conference module 239, email 240, or IM 241; and so forth.
In conjunction with RF circuitry 208, audio circuitry 210, speaker 211, microphone 213, touch screen 212, display controller 256, contact/motion module 230, graphics module 232, and text input module 234, telephone module 238 may be used to enter a sequence of characters corresponding to a telephone number, access one or more telephone numbers in contacts module 237, modify a telephone number that has been entered, dial a respective telephone number, conduct a conversation, and disconnect or hang up when the conversation is completed. As noted above, the wireless communication may use any of a plurality of communications standards, protocols, and technologies.
In conjunction with RF circuitry 208, audio circuitry 210, speaker 211, microphone 213, touch screen 212, display controller 256, optical sensor 264, optical sensor controller 258, contact/motion module 230, graphics module 232, text input module 234, contacts module 237, and telephone module 238, video conference module 239 includes executable instructions to initiate, conduct, and terminate a video conference between a user and one or more other participants in accordance with user instructions.
In conjunction with RF circuitry 208, touch screen 212, display controller 256, contact/motion module 230, graphics module 232, and text input module 234, email client module 240 includes executable instructions to create, send, receive, and manage email in response to user instructions. In conjunction with image management module 244, email client module 240 makes it very easy to create and send emails with still or video images taken with camera module 243.
In conjunction with RF circuitry 208, touch screen 212, display controller 256, contact/motion module 230, graphics module 232, and text input module 234, the instant messaging module 241 includes executable instructions to enter a sequence of characters corresponding to an instant message, to modify previously entered characters, to transmit a respective instant message (for example, using a Short Message Service (SMS) or Multimedia Message Service (MMS) protocol for telephony-based instant messages or using XMPP, SIMPLE, or IMPS for Internet-based instant messages), to receive instant messages, and to view received instant messages. In some embodiments, transmitted and/or received instant messages may include graphics, photos, audio files, video files and/or other attachments as are supported in an MMS and/or an Enhanced Messaging Service (EMS). As used herein, “instant messaging” refers to both telephony-based messages (e.g., messages sent using SMS or MMS) and Internet-based messages (e.g., messages sent using XMPP, SIMPLE, or IMPS).
In conjunction with RF circuitry 208, touch screen 212, display controller 256, contact/motion module 230, graphics module 232, text input module 234, GPS module 235, map module 254, and music player module, workout support module 242 includes executable instructions to create workouts (e.g., with time, distance, and/or calorie burning goals); communicate with workout sensors (sports devices); receive workout sensor data; calibrate sensors used to monitor a workout; select and play music for a workout; and display, store, and transmit workout data.
In conjunction with touch screen 212, display controller 256, optical sensor(s) 264, optical sensor controller 258, contact/motion module 230, graphics module 232, and image management module 244, camera module 243 includes executable instructions to capture still images or video (including a video stream) and store them into memory 202, modify characteristics of a still image or video, or delete a still image or video from memory 202.
In conjunction with touch screen 212, display controller 256, contact/motion module 230, graphics module 232, text input module 234, and camera module 243, image management module 244 includes executable instructions to arrange, modify (e.g., edit), or otherwise manipulate, label, delete, present (e.g., in a digital slide show or album), and store still and/or video images.
In conjunction with RF circuitry 208, touch screen 212, display controller 256, contact/motion module 230, graphics module 232, and text input module 234, browser module 247 includes executable instructions to browse the Internet in accordance with user instructions, including searching, linking to, receiving, and displaying web pages or portions thereof, as well as attachments and other files linked to web pages.
In conjunction with RF circuitry 208, touch screen 212, display controller 256, contact/motion module 230, graphics module 232, text input module 234, email client module 240, and browser module 247, calendar module 248 includes executable instructions to create, display, modify, and store calendars and data associated with calendars (e.g., calendar entries, to-do lists, etc.) in accordance with user instructions.
In conjunction with RF circuitry 208, touch screen 212, display controller 256, contact/motion module 230, graphics module 232, text input module 234, and browser module 247, widget modules 249 are mini-applications that may be downloaded and used by a user (e.g., weather widget 249-1, stocks widget 249-2, calculator widget 249-3, alarm clock widget 249-4, and dictionary widget 249-5) or created by the user (e.g., user-created widget 249-6). In some embodiments, a widget includes an HTML (Hypertext Markup Language) file, a CSS (Cascading Style Sheets) file, and a JavaScript file. In some embodiments, a widget includes an XML (Extensible Markup Language) file and a JavaScript file (e.g., Yahoo! Widgets).
In conjunction with RF circuitry 208, touch screen 212, display controller 256, contact/motion module 230, graphics module 232, text input module 234, and browser module 247, the widget creator module 250 may be used by a user to create widgets (e.g., turning a user-specified portion of a web page into a widget).
In conjunction with touch screen 212, display controller 256, contact/motion module 230, graphics module 232, and text input module 234, search module 251 includes executable instructions to search for text, music, sound, image, video, and/or other files in memory 202 that match one or more search criteria (e.g., one or more user-specified search terms) in accordance with user instructions.
In conjunction with touch screen 212, display controller 256, contact/motion module 230, graphics module 232, audio circuitry 210, speaker 211, RF circuitry 208, and browser module 247, video and music player module 252 includes executable instructions that allow the user to download and play back recorded music and other sound files stored in one or more file formats, such as MP3 or AAC files, and executable instructions to display, present, or otherwise play back videos (e.g., on touch screen 212 or on an external, connected display via external port 224). In some embodiments, device 200 optionally includes the functionality of an MP3 player, such as an iPod (trademark of Apple Inc.).
In conjunction with touch screen 212, display controller 256, contact/motion module 230, graphics module 232, and text input module 234, notes module 253 includes executable instructions to create and manage notes, to-do lists, and the like in accordance with user instructions.
In conjunction with RF circuitry 208, touch screen 212, display controller 256, contact/motion module 230, graphics module 232, text input module 234, GPS module 235, and browser module 247, map module 254 may be used to receive, display, modify, and store maps and data associated with maps (e.g., driving directions, data on stores and other points of interest at or near a particular location, and other location-based data) in accordance with user instructions.
In conjunction with touch screen 212, display controller 256, contact/motion module 230, graphics module 232, audio circuitry 210, speaker 211, RF circuitry 208, text input module 234, email client module 240, and browser module 247, online video module 255 includes instructions that allow the user to access, browse, receive (e.g., by streaming and/or download), play back (e.g., on the touch screen or on an external, connected display via external port 224), send an email with a link to a particular online video, and otherwise manage online videos in one or more file formats, such as H.264. In some embodiments, instant messaging module 241, rather than email client module 240, is used to send a link to a particular online video. Additional description of the online video application can be found in U.S. Provisional Patent Application No. 60/936,562, “Portable Multifunction Device, Method, and Graphical User Interface for Playing Online Videos,” filed Jun. 20, 2007, and U.S. patent application Ser. No. 11/968,067, “Portable Multifunction Device, Method, and Graphical User Interface for Playing Online Videos,” filed Dec. 31, 2007, the contents of which are hereby incorporated by reference in their entirety.
Each of the above-identified modules and applications corresponds to a set of executable instructions for performing one or more functions described above and the methods described in this application (e.g., the computer-implemented methods and other information processing methods described herein). These modules (e.g., sets of instructions) need not be implemented as separate software programs, procedures, or modules, and thus various subsets of these modules may be combined or otherwise rearranged in various embodiments. For example, video player module may be combined with music player module into a single module (e.g., video and music player module 252,
In some embodiments, device 200 is a device where operation of a predefined set of functions on the device is performed exclusively through a touch screen and/or a touchpad. By using a touch screen and/or a touchpad as the primary input control device for operation of device 200, the number of physical input control devices (such as push buttons, dials, and the like) on device 200 may be reduced.
The predefined set of functions that are performed exclusively through a touch screen and/or a touchpad optionally include navigation between user interfaces. In some embodiments, the touchpad, when touched by the user, navigates device 200 to a main, home, or root menu from any user interface that is displayed on device 200. In such embodiments, a “menu button” is implemented using a touchpad. In some other embodiments, the menu button is a physical push button or other physical input control device instead of a touchpad.
Event sorter 270 receives event information and determines the application 236-1 and application view 291 of application 236-1 to which to deliver the event information. Event sorter 270 includes event monitor 271 and event dispatcher module 274. In some embodiments, application 236-1 includes application internal state 292, which indicates the current application view(s) displayed on touch-sensitive display 212 when the application is active or executing. In some embodiments, device/global internal state 257 is used by event sorter 270 to determine which application(s) is (are) currently active, and application internal state 292 is used by event sorter 270 to determine application views 291 to which to deliver event information.
In some embodiments, application internal state 292 includes additional information, such as one or more of: resume information to be used when application 236-1 resumes execution, user interface state information that indicates information being displayed or that is ready for display by application 236-1, a state queue for enabling the user to go back to a prior state or view of application 236-1, and a redo/undo queue of previous actions taken by the user.
Event monitor 271 receives event information from peripherals interface 218. Event information includes information about a sub-event (e.g., a user touch on touch-sensitive display 212, as part of a multi-touch gesture). Peripherals interface 218 transmits information it receives from I/O subsystem 206 or a sensor, such as proximity sensor 266, accelerometer(s) 268, and/or microphone 213 (through audio circuitry 210). Information that peripherals interface 218 receives from I/O subsystem 206 includes information from touch-sensitive display 212 or a touch-sensitive surface.
In some embodiments, event monitor 271 sends requests to the peripherals interface 218 at predetermined intervals. In response, peripherals interface 218 transmits event information. In other embodiments, peripherals interface 218 transmits event information only when there is a significant event (e.g., receiving an input above a predetermined noise threshold and/or for more than a predetermined duration).
In some embodiments, event sorter 270 also includes a hit view determination module 272 and/or an active event recognizer determination module 273.
Hit view determination module 272 provides software procedures for determining where a sub-event has taken place within one or more views when touch-sensitive display 212 displays more than one view. Views are made up of controls and other elements that a user can see on the display.
Another aspect of the user interface associated with an application is a set of views, sometimes herein called application views or user interface windows, in which information is displayed and touch-based gestures occur. The application views (of a respective application) in which a touch is detected may correspond to programmatic levels within a programmatic or view hierarchy of the application. For example, the lowest level view in which a touch is detected may be called the hit view, and the set of events that are recognized as proper inputs may be determined based, at least in part, on the hit view of the initial touch that begins a touch-based gesture.
Hit view determination module 272 receives information related to sub events of a touch-based gesture. When an application has multiple views organized in a hierarchy, hit view determination module 272 identifies a hit view as the lowest view in the hierarchy which should handle the sub-event. In most circumstances, the hit view is the lowest level view in which an initiating sub-event occurs (e.g., the first sub-event in the sequence of sub-events that form an event or potential event). Once the hit view is identified by the hit view determination module 272, the hit view typically receives all sub-events related to the same touch or input source for which it was identified as the hit view.
Active event recognizer determination module 273 determines which view or views within a view hierarchy should receive a particular sequence of sub-events. In some embodiments, active event recognizer determination module 273 determines that only the hit view should receive a particular sequence of sub-events. In other embodiments, active event recognizer determination module 273 determines that all views that include the physical location of a sub-event are actively involved views, and therefore determines that all actively involved views should receive a particular sequence of sub-events. In other embodiments, even if touch sub-events were entirely confined to the area associated with one particular view, views higher in the hierarchy would still remain as actively involved views.
Event dispatcher module 274 dispatches the event information to an event recognizer (e.g., event recognizer 280). In embodiments including active event recognizer determination module 273, event dispatcher module 274 delivers the event information to an event recognizer determined by active event recognizer determination module 273. In some embodiments, event dispatcher module 274 stores in an event queue the event information, which is retrieved by a respective event receiver 282.
In some embodiments, operating system 226 includes event sorter 270. Alternatively, application 236-1 includes event sorter 270. In yet other embodiments, event sorter 270 is a stand-alone module, or a part of another module stored in memory 202, such as contact/motion module 230.
In some embodiments, application 236-1 includes a plurality of event handlers 290 and one or more application views 291, each of which includes instructions for handling touch events that occur within a respective view of the application's user interface. Each application view 291 of the application 236-1 includes one or more event recognizers 280. Typically, a respective application view 291 includes a plurality of event recognizers 280. In other embodiments, one or more of event recognizers 280 are part of a separate module, such as a user interface kit (not shown) or a higher level object from which application 236-1 inherits methods and other properties. In some embodiments, a respective event handler 290 includes one or more of: data updater 276, object updater 277, GUI updater 278, and/or event data 279 received from event sorter 270. Event handler 290 may utilize or call data updater 276, object updater 277, or GUI updater 278 to update the application internal state 292. Alternatively, one or more of the application views 291 include one or more respective event handlers 290. Also, in some embodiments, one or more of data updater 276, object updater 277, and GUI updater 278 are included in a respective application view 291.
A respective event recognizer 280 receives event information (e.g., event data 279) from event sorter 270 and identifies an event from the event information. Event recognizer 280 includes event receiver 282 and event comparator 284. In some embodiments, event recognizer 280 also includes at least a subset of: metadata 283, and event delivery instructions 288 (which may include sub-event delivery instructions).
Event receiver 282 receives event information from event sorter 270. The event information includes information about a sub-event, for example, a touch or a touch movement. Depending on the sub-event, the event information also includes additional information, such as location of the sub-event. When the sub-event concerns motion of a touch, the event information may also include speed and direction of the sub-event. In some embodiments, events include rotation of the device from one orientation to another (e.g., from a portrait orientation to a landscape orientation, or vice versa), and the event information includes corresponding information about the current orientation (also called device attitude) of the device.
Event comparator 284 compares the event information to predefined event or sub-event definitions and, based on the comparison, determines an event or sub event, or determines or updates the state of an event or sub-event. In some embodiments, event comparator 284 includes event definitions 286. Event definitions 286 contain definitions of events (e.g., predefined sequences of sub-events), for example, event 1 (287-1), event 2 (287-2), and others. In some embodiments, sub-events in an event (287) include, for example, touch begin, touch end, touch movement, touch cancellation, and multiple touching. In one example, the definition for event 1 (287-1) is a double tap on a displayed object. The double tap, for example, comprises a first touch (touch begin) on the displayed object for a predetermined phase, a first liftoff (touch end) for a predetermined phase, a second touch (touch begin) on the displayed object for a predetermined phase, and a second liftoff (touch end) for a predetermined phase. In another example, the definition for event 2 (287-2) is a dragging on a displayed object. The dragging, for example, comprises a touch (or contact) on the displayed object for a predetermined phase, a movement of the touch across touch-sensitive display 212, and liftoff of the touch (touch end). In some embodiments, the event also includes information for one or more associated event handlers 290.
In some embodiments, event definition 287 includes a definition of an event for a respective user-interface object. In some embodiments, event comparator 284 performs a hit test to determine which user-interface object is associated with a sub-event. For example, in an application view in which three user-interface objects are displayed on touch-sensitive display 212, when a touch is detected on touch-sensitive display 212, event comparator 284 performs a hit test to determine which of the three user-interface objects is associated with the touch (sub-event). If each displayed object is associated with a respective event handler 290, the event comparator uses the result of the hit test to determine which event handler 290 should be activated. For example, event comparator 284 selects an event handler associated with the sub-event and the object triggering the hit test.
In some embodiments, the definition for a respective event (287) also includes delayed actions that delay delivery of the event information until after it has been determined whether the sequence of sub-events does or does not correspond to the event recognizer's event type.
When a respective event recognizer 280 determines that the series of sub-events do not match any of the events in event definitions 286, the respective event recognizer 280 enters an event impossible, event failed, or event ended state, after which it disregards subsequent sub-events of the touch-based gesture. In this situation, other event recognizers, if any, that remain active for the hit view continue to track and process sub-events of an ongoing touch-based gesture.
In some embodiments, a respective event recognizer 280 includes metadata 283 with configurable properties, flags, and/or lists that indicate how the event delivery system should perform sub-event delivery to actively involved event recognizers. In some embodiments, metadata 283 includes configurable properties, flags, and/or lists that indicate how event recognizers may interact, or are enabled to interact, with one another. In some embodiments, metadata 283 includes configurable properties, flags, and/or lists that indicate whether sub-events are delivered to varying levels in the view or programmatic hierarchy.
In some embodiments, a respective event recognizer 280 activates event handler 290 associated with an event when one or more particular sub-events of an event are recognized. In some embodiments, a respective event recognizer 280 delivers event information associated with the event to event handler 290. Activating an event handler 290 is distinct from sending (and deferred sending) sub-events to a respective hit view. In some embodiments, event recognizer 280 throws a flag associated with the recognized event, and event handler 290 associated with the flag catches the flag and performs a predefined process.
In some embodiments, event delivery instructions 288 include sub-event delivery instructions that deliver event information about a sub-event without activating an event handler. Instead, the sub-event delivery instructions deliver event information to event handlers associated with the series of sub-events or to actively involved views. Event handlers associated with the series of sub-events or with actively involved views receive the event information and perform a predetermined process.
In some embodiments, data updater 276 creates and updates data used in application 236-1. For example, data updater 276 updates the telephone number used in contacts module 237, or stores a video file used in video player module. In some embodiments, object updater 277 creates and updates objects used in application 236-1. For example, object updater 277 creates a new user-interface object or updates the position of a user-interface object. GUI updater 278 updates the GUI. For example, GUI updater 278 prepares display information and sends it to graphics module 232 for display on a touch-sensitive display.
In some embodiments, event handler(s) 290 includes or has access to data updater 276, object updater 277, and GUI updater 278. In some embodiments, data updater 276, object updater 277, and GUI updater 278 are included in a single module of a respective application 236-1 or application view 291. In other embodiments, they are included in two or more software modules.
It shall be understood that the foregoing discussion regarding event handling of user touches on touch-sensitive displays also applies to other forms of user inputs to operate multifunction devices 200 with input devices, not all of which are initiated on touch screens. For example, mouse movement and mouse button presses, optionally coordinated with single or multiple keyboard presses or holds; contact movements such as taps, drags, scrolls, etc. on touchpads; pen stylus inputs; movement of the device; oral instructions; detected eye movements; biometric inputs; and/or any combination thereof are optionally utilized as inputs corresponding to sub-events which define an event to be recognized.
Device 200 may also include one or more physical buttons, such as “home” or menu button 304. As described previously, menu button 304 may be used to navigate to any application 236 in a set of applications that may be executed on device 200. Alternatively, in some embodiments, the menu button is implemented as a soft key in a GUI displayed on touch screen 212.
In one embodiment, device 200 includes touch screen 212, menu button 304, push button 306 for powering the device on/off and locking the device, volume adjustment button(s) 308, subscriber identity module (SIM) card slot 310, headset jack 312, and docking/charging external port 224. Push button 306 is, optionally, used to turn the power on/off on the device by depressing the button and holding the button in the depressed state for a predefined time interval; to lock the device by depressing the button and releasing the button before the predefined time interval has elapsed; and/or to unlock the device or initiate an unlock process. In an alternative embodiment, device 200 also accepts verbal input for activation or deactivation of some functions through microphone 213. Device 200 also, optionally, includes one or more contact intensity sensors 265 for detecting intensity of contacts on touch screen 212 and/or one or more tactile output generators 267 for generating tactile outputs for a user of device 200.
Each of the above-identified elements in
Attention is now directed towards embodiments of user interfaces that may be implemented on, for example, portable multifunction device 200.
It should be noted that the icon labels illustrated in
Although some of the examples which follow will be given with reference to inputs on touch screen display 212 (where the touch-sensitive surface and the display are combined), in some embodiments, the device detects inputs on a touch-sensitive surface that is separate from the display, as shown in
Additionally, while the following examples are given primarily with reference to finger inputs (e.g., finger contacts, finger tap gestures, finger swipe gestures), it should be understood that, in some embodiments, one or more of the finger inputs are replaced with input from another input device (e.g., a mouse-based input or stylus input). For example, a swipe gesture is, optionally, replaced with a mouse click (e.g., instead of a contact) followed by movement of the cursor along the path of the swipe (e.g., instead of movement of the contact). As another example, a tap gesture is, optionally, replaced with a mouse click while the cursor is located over the location of the tap gesture (e.g., instead of detection of the contact followed by ceasing to detect the contact). Similarly, when multiple user inputs are simultaneously detected, it should be understood that multiple computer mice are, optionally, used simultaneously, or a mouse and finger contacts are, optionally, used simultaneously.
Techniques for detecting and processing touch intensity may be found, for example, in related applications: International Patent Application Serial No. PCT/US2013/040061, titled “Device, Method, and Graphical User Interface for Displaying User Interface Objects Corresponding to an Application,” filed May 8, 2013, and International Patent Application Serial No. PCT/US2013/069483, titled “Device, Method, and Graphical User Interface for Transitioning Between Touch Input to Display Output Relationships,” filed Nov. 11, 2013, each of which is hereby incorporated by reference in their entirety.
In some embodiments, device 600 has one or more input mechanisms 606 and 608. Input mechanisms 606 and 608, if included, can be physical. Examples of physical input mechanisms include push buttons and rotatable mechanisms. In some embodiments, device 600 has one or more attachment mechanisms. Such attachment mechanisms, if included, can permit attachment of device 600 with, for example, hats, eyewear, earrings, necklaces, shirts, jackets, bracelets, watch straps, chains, trousers, belts, shoes, purses, backpacks, and so forth. These attachment mechanisms may permit device 600 to be worn by a user.
Input mechanism 608 may be a microphone, in some examples. Personal electronic device 600 can include various sensors, such as GPS sensor 632, accelerometer 634, directional sensor 640 (e.g., compass), gyroscope 636, motion sensor 638, and/or a combination thereof, all of which can be operatively connected to I/O section 614.
Memory 618 of personal electronic device 600 can be a non-transitory computer-readable storage medium, for storing computer-executable instructions, which, when executed by one or more computer processors 616, for example, can cause the computer processors to perform the techniques described below, including processes 800-900 (
As used here, the term “affordance” refers to a user-interactive graphical user interface object that may be displayed on the display screen of devices 200, 400, and/or 600 (
As used herein, the term “focus selector” refers to an input element that indicates a current part of a user interface with which a user is interacting. In some implementations that include a cursor or other location marker, the cursor acts as a “focus selector” so that when an input (e.g., a press input) is detected on a touch-sensitive surface (e.g., touchpad 455 in
As used in the specification and claims, the term “characteristic intensity” of a contact refers to a characteristic of the contact based on one or more intensities of the contact. In some embodiments, the characteristic intensity is based on multiple intensity samples. The characteristic intensity is, optionally, based on a predefined number of intensity samples, or a set of intensity samples collected during a predetermined time period (e.g., 0.05, 0.1, 0.2, 0.5, 1, 2, 5, 10 seconds) relative to a predefined event (e.g., after detecting the contact, prior to detecting liftoff of the contact, before or after detecting a start of movement of the contact, prior to detecting an end of the contact, before or after detecting an increase in intensity of the contact, and/or before or after detecting a decrease in intensity of the contact). A characteristic intensity of a contact is, optionally based on one or more of: a maximum value of the intensities of the contact, a mean value of the intensities of the contact, an average value of the intensities of the contact, a top 10 percentile value of the intensities of the contact, a value at the half maximum of the intensities of the contact, a value at the 90 percent maximum of the intensities of the contact, or the like. In some embodiments, the duration of the contact is used in determining the characteristic intensity (e.g., when the characteristic intensity is an average of the intensity of the contact over time). In some embodiments, the characteristic intensity is compared to a set of one or more intensity thresholds to determine whether an operation has been performed by a user. For example, the set of one or more intensity thresholds may include a first intensity threshold and a second intensity threshold. In this example, a contact with a characteristic intensity that does not exceed the first threshold results in a first operation, a contact with a characteristic intensity that exceeds the first intensity threshold and does not exceed the second intensity threshold results in a second operation, and a contact with a characteristic intensity that exceeds the second threshold results in a third operation. In some embodiments, a comparison between the characteristic intensity and one or more thresholds is used to determine whether or not to perform one or more operations (e.g., whether to perform a respective operation or forgo performing the respective operation) rather than being used to determine whether to perform a first operation or a second operation.
In some embodiments, a portion of a gesture is identified for purposes of determining a characteristic intensity. For example, a touch-sensitive surface may receive a continuous swipe contact transitioning from a start location and reaching an end location, at which point the intensity of the contact increases. In this example, the characteristic intensity of the contact at the end location may be based on only a portion of the continuous swipe contact, and not the entire swipe contact (e.g., only the portion of the swipe contact at the end location). In some embodiments, a smoothing algorithm may be applied to the intensities of the swipe contact prior to determining the characteristic intensity of the contact. For example, the smoothing algorithm optionally includes one or more of: an unweighted sliding-average smoothing algorithm, a triangular smoothing algorithm, a median filter smoothing algorithm, and/or an exponential smoothing algorithm. In some circumstances, these smoothing algorithms eliminate narrow spikes or dips in the intensities of the swipe contact for purposes of determining a characteristic intensity.
The intensity of a contact on the touch-sensitive surface may be characterized relative to one or more intensity thresholds, such as a contact-detection intensity threshold, a light press intensity threshold, a deep press intensity threshold, and/or one or more other intensity thresholds. In some embodiments, the light press intensity threshold corresponds to an intensity at which the device will perform operations typically associated with clicking a button of a physical mouse or a trackpad. In some embodiments, the deep press intensity threshold corresponds to an intensity at which the device will perform operations that are different from operations typically associated with clicking a button of a physical mouse or a trackpad. In some embodiments, when a contact is detected with a characteristic intensity below the light press intensity threshold (e.g., and above a nominal contact-detection intensity threshold below which the contact is no longer detected), the device will move a focus selector in accordance with movement of the contact on the touch-sensitive surface without performing an operation associated with the light press intensity threshold or the deep press intensity threshold. Generally, unless otherwise stated, these intensity thresholds are consistent between different sets of user interface figures.
An increase of characteristic intensity of the contact from an intensity below the light press intensity threshold to an intensity between the light press intensity threshold and the deep press intensity threshold is sometimes referred to as a “light press” input. An increase of characteristic intensity of the contact from an intensity below the deep press intensity threshold to an intensity above the deep press intensity threshold is sometimes referred to as a “deep press” input. An increase of characteristic intensity of the contact from an intensity below the contact-detection intensity threshold to an intensity between the contact-detection intensity threshold and the light press intensity threshold is sometimes referred to as detecting the contact on the touch-surface. A decrease of characteristic intensity of the contact from an intensity above the contact-detection intensity threshold to an intensity below the contact-detection intensity threshold is sometimes referred to as detecting liftoff of the contact from the touch-surface. In some embodiments, the contact-detection intensity threshold is zero. In some embodiments, the contact-detection intensity threshold is greater than zero.
In some embodiments described herein, one or more operations are performed in response to detecting a gesture that includes a respective press input or in response to detecting the respective press input performed with a respective contact (or a plurality of contacts), where the respective press input is detected based at least in part on detecting an increase in intensity of the contact (or plurality of contacts) above a press-input intensity threshold. In some embodiments, the respective operation is performed in response to detecting the increase in intensity of the respective contact above the press-input intensity threshold (e.g., a “down stroke” of the respective press input). In some embodiments, the press input includes an increase in intensity of the respective contact above the press-input intensity threshold and a subsequent decrease in intensity of the contact below the press-input intensity threshold, and the respective operation is performed in response to detecting the subsequent decrease in intensity of the respective contact below the press-input threshold (e.g., an “up stroke” of the respective press input).
In some embodiments, the device employs intensity hysteresis to avoid accidental inputs sometimes termed “jitter,” where the device defines or selects a hysteresis intensity threshold with a predefined relationship to the press-input intensity threshold (e.g., the hysteresis intensity threshold is X intensity units lower than the press-input intensity threshold or the hysteresis intensity threshold is 75%, 90%, or some reasonable proportion of the press-input intensity threshold). Thus, in some embodiments, the press input includes an increase in intensity of the respective contact above the press-input intensity threshold and a subsequent decrease in intensity of the contact below the hysteresis intensity threshold that corresponds to the press-input intensity threshold, and the respective operation is performed in response to detecting the subsequent decrease in intensity of the respective contact below the hysteresis intensity threshold (e.g., an “up stroke” of the respective press input). Similarly, in some embodiments, the press input is detected only when the device detects an increase in intensity of the contact from an intensity at or below the hysteresis intensity threshold to an intensity at or above the press-input intensity threshold and, optionally, a subsequent decrease in intensity of the contact to an intensity at or below the hysteresis intensity, and the respective operation is performed in response to detecting the press input (e.g., the increase in intensity of the contact or the decrease in intensity of the contact, depending on the circumstances).
For ease of explanation, the descriptions of operations performed in response to a press input associated with a press-input intensity threshold or in response to a gesture including the press input are, optionally, triggered in response to detecting either: an increase in intensity of a contact above the press-input intensity threshold, an increase in intensity of a contact from an intensity below the hysteresis intensity threshold to an intensity above the press-input intensity threshold, a decrease in intensity of the contact below the press-input intensity threshold, and/or a decrease in intensity of the contact below the hysteresis intensity threshold corresponding to the press-input intensity threshold. Additionally, in examples where an operation is described as being performed in response to detecting a decrease in intensity of a contact below the press-input intensity threshold, the operation is, optionally, performed in response to detecting a decrease in intensity of the contact below a hysteresis intensity threshold corresponding to, and lower than, the press-input intensity threshold.
3. Digital Assistant System
Digital assistant system 700 can include memory 702, one or more processors 704, input/output (I/O) interface 706, and network communications interface 708. These components can communicate with one another over one or more communication buses or signal lines 710.
In some examples, memory 702 can include a non-transitory computer-readable medium, such as high-speed random access memory and/or a non-volatile computer-readable storage medium (e.g., one or more magnetic disk storage devices, flash memory devices, or other non-volatile solid-state memory devices).
In some examples, I/O interface 706 can couple input/output devices 716 of digital assistant system 700, such as displays, keyboards, touch screens, and microphones, to user interface module 722. I/O interface 706, in conjunction with user interface module 722, can receive user inputs (e.g., voice input, keyboard inputs, touch inputs, etc.) and processes them accordingly. In some examples, e.g., when the digital assistant is implemented on a standalone user device, digital assistant system 700 can include any of the components and I/O communication interfaces described with respect to devices 200, 400, or 600 in
In some examples, the network communications interface 708 can include wired communication port(s) 712 and/or wireless transmission and reception circuitry 714. The wired communication port(s) can receive and send communication signals via one or more wired interfaces, e.g., Ethernet, Universal Serial Bus (USB), FIREWIRE, etc. The wireless circuitry 714 can receive and send RF signals and/or optical signals from/to communications networks and other communications devices. The wireless communications can use any of a plurality of communications standards, protocols, and technologies, such as GSM, EDGE, CDMA, TDMA, Bluetooth, Wi-Fi, VoIP, Wi-MAX, or any other suitable communication protocol. Network communications interface 708 can enable communication between digital assistant system 700 with networks, such as the Internet, an intranet, and/or a wireless network, such as a cellular telephone network, a wireless local area network (LAN), and/or a metropolitan area network (MAN), and other devices.
In some examples, memory 702, or the computer-readable storage media of memory 702, can store programs, modules, instructions, and data structures including all or a subset of: operating system 718, communications module 720, user interface module 722, one or more applications 724, and digital assistant module 726. In particular, memory 702, or the computer-readable storage media of memory 702, can store instructions for performing processes 800, 900, described below. One or more processors 704 can execute these programs, modules, and instructions, and reads/writes from/to the data structures.
Operating system 718 (e.g., Darwin, RTXC, LINUX, UNIX, iOS, OS X, WINDOWS, or an embedded operating system such as VxWorks) can include various software components and/or drivers for controlling and managing general system tasks (e.g., memory management, storage device control, power management, etc.) and facilitates communications between various hardware, firmware, and software components.
Communications module 720 can facilitate communications between digital assistant system 700 with other devices over network communications interface 708. For example, communications module 720 can communicate with RF circuitry 208 of electronic devices such as devices 200, 400, and 600 shown in
User interface module 722 can receive commands and/or inputs from a user via I/O interface 706 (e.g., from a keyboard, touch screen, pointing device, controller, and/or microphone), and generate user interface objects on a display. User interface module 722 can also prepare and deliver outputs (e.g., speech, sound, animation, text, icons, vibrations, haptic feedback, light, etc.) to the user via the I/O interface 706 (e.g., through displays, audio channels, speakers, touch-pads, etc.).
Applications 724 can include programs and/or modules that are configured to be executed by one or more processors 704. For example, if the digital assistant system is implemented on a standalone user device, applications 724 can include user applications, such as games, a calendar application, a navigation application, or an email application. If digital assistant system 700 is implemented on a server, applications 724 can include resource management applications, diagnostic applications, or scheduling applications, for example.
Memory 702 can also store digital assistant module 726 (or the server portion of a digital assistant). In some examples, digital assistant module 726 can include the following sub-modules, or a subset or superset thereof: input/output processing module 728, speech-to-text (STT) processing module 730, natural language processing module 732, dialogue flow processing module 734, task flow processing module 736, service processing module 738, and speech synthesis module 740. Each of these modules can have access to one or more of the following systems or data and models of the digital assistant module 726, or a subset or superset thereof: ontology 760, vocabulary index 744, user data 748, task flow models 754, service models 756, and ASR systems.
In some examples, using the processing modules, data, and models implemented in digital assistant module 726, the digital assistant can perform at least some of the following: converting speech input into text; identifying a user's intent expressed in a natural language input received from the user; actively eliciting and obtaining information needed to fully infer the user's intent (e.g., by disambiguating words, games, intentions, etc.); determining the task flow for fulfilling the inferred intent; and executing the task flow to fulfill the inferred intent.
In some examples, as shown in
STT processing module 730 can include one or more ASR systems. The one or more ASR systems can process the speech input that is received through I/O processing module 728 to produce a recognition result. Each ASR system can include a front-end speech pre-processor. The front-end speech pre-processor can extract representative features from the speech input. For example, the front-end speech pre-processor can perform a Fourier transform on the speech input to extract spectral features that characterize the speech input as a sequence of representative multi-dimensional vectors. Further, each ASR system can include one or more speech recognition models (e.g., acoustic models and/or language models) and can implement one or more speech recognition engines. Examples of speech recognition models can include Hidden Markov Models, Gaussian-Mixture Models, Deep Neural Network Models, n-gram language models, and other statistical models. Examples of speech recognition engines can include the dynamic time warping based engines and weighted finite-state transducers (WFST) based engines. The one or more speech recognition models and the one or more speech recognition engines can be used to process the extracted representative features of the front-end speech pre-processor to produce intermediate recognitions results (e.g., phonemes, phonemic strings, and sub-words), and ultimately, text recognition results (e.g., words, word strings, or sequence of tokens). In some examples, the speech input can be processed at least partially by a third-party service or on the user's device (e.g., device 104, 200, 400, or 600) to produce the recognition result. Once STT processing module 730 produces recognition results containing a text string (e.g., words, or sequence of words, or sequence of tokens), the recognition result can be passed to natural language processing module 732 for intent deduction.
More details on the speech-to-text processing are described in U.S. Utility application Ser. No. 13/236,942 for “Consolidating Speech Recognition Results,” filed on Sep. 20, 2011, the entire disclosure of which is incorporated herein by reference.
In some examples, STT processing module 730 can include and/or access a vocabulary of recognizable words via phonetic alphabet conversion module 731. Each vocabulary word can be associated with one or more candidate pronunciations of the word represented in a speech recognition phonetic alphabet. In particular, the vocabulary of recognizable words can include a word that is associated with a plurality of candidate pronunciations. For example, the vocabulary may include the word “tomato” that is associated with the candidate pronunciations of /t'me
o
/and /t
'mato
/. Further, vocabulary words can be associated with custom candidate pronunciations that are based on previous speech inputs from the user. Such custom candidate pronunciations can be stored in STT processing module 730 and can be associated with a particular user via the user's profile on the device. In some examples, the candidate pronunciations for words can be determined based on the spelling of the word and one or more linguistic and/or phonetic rules. In some examples, the candidate pronunciations can be manually generated, e.g., based on known canonical pronunciations.
In some examples, the candidate pronunciations can be ranked based on the commonness of the candidate pronunciation. For example, the candidate pronunciation /t'me
o
/ can be ranked higher than /t
'mato
/, because the former is a more commonly used pronunciation (e.g., among all users, for users in a particular geographical region, or for any other appropriate subset of users). In some examples, candidate pronunciations can be ranked based on whether the candidate pronunciation is a custom candidate pronunciation associated with the user. For example, custom candidate pronunciations can be ranked higher than canonical candidate pronunciations. This can be useful for recognizing proper nouns having a unique pronunciation that deviates from canonical pronunciation. In some examples, candidate pronunciations can be associated with one or more speech characteristics, such as geographic origin, nationality, or ethnicity. For example, the candidate pronunciation /t
'me
o
/ can be associated with the United States, whereas the candidate pronunciation /t
'mato
/ can be associated with Great Britain. Further, the rank of the candidate pronunciation can be based on one or more characteristics (e.g., geographic origin, nationality, ethnicity, etc.) of the user stored in the user's profile on the device. For example, it can be determined from the user's profile that the user is associated with the United States. Based on the user being associated with the United States, the candidate pronunciation /t
'me
o
/ (associated with the United States) can be ranked higher than the candidate pronunciation /t
'mato
/ (associated with Great Britain). In some examples, one of the ranked candidate pronunciations can be selected as a predicted pronunciation (e.g., the most likely pronunciation).
When a speech input is received, STT processing module 730 can be used to determine the phonemes corresponding to the speech input (e.g., using an acoustic model), and then attempt to determine words that match the phonemes (e.g., using a language model). For example, if STT processing module 730 can first identify the sequence of phonemes /t'me
o
/ corresponding to a portion of the speech input, it can then determine, based on vocabulary index 744, that this sequence corresponds to the word “tomato.”
In some examples, STT processing module 730 can use approximate matching techniques to determine words in an utterance. Thus, for example, the STT processing module 730 can determine that the sequence of phonemes /t'me
o
/ corresponds to the word “tomato,” even if that particular sequence of phonemes is not one of the candidate sequence of phonemes for that word.
Natural language processing module 732 (“natural language processor”) of the digital assistant can take the sequence of words or tokens (“token sequence”) generated by STT processing module 730, and attempt to associate the token sequence with one or more “actionable intents” recognized by the digital assistant. An “actionable intent” can represent a task that can be performed by the digital assistant, and can have an associated task flow implemented in task flow models 754. The associated task flow can be a series of programmed actions and steps that the digital assistant takes in order to perform the task. The scope of a digital assistant's capabilities can be dependent on the number and variety of task flows that have been implemented and stored in task flow models 754, or in other words, on the number and variety of “actionable intents” that the digital assistant recognizes. The effectiveness of the digital assistant, however, can also be dependent on the assistant's ability to infer the correct “actionable intent(s)” from the user request expressed in natural language.
In some examples, in addition to the sequence of words or tokens obtained from STT processing module 730, natural language processing module 732 can also receive contextual information associated with the user request, e.g., from I/O processing module 728. The natural language processing module 732 can optionally use the contextual information to clarify, supplement, and/or further define the information contained in the token sequence received from STT processing module 730. The contextual information can include, for example, user preferences, hardware, and/or software states of the user device, sensor information collected before, during, or shortly after the user request, prior interactions (e.g., dialogue) between the digital assistant and the user, and the like. As described herein, contextual information can be dynamic, and can change with time, location, content of the dialogue, and other factors.
In some examples, the natural language processing can be based on, e.g., ontology 760. Ontology 760 can be a hierarchical structure containing many nodes, each node representing either an “actionable intent” or a “property” relevant to one or more of the “actionable intents” or other “properties.” As noted above, an “actionable intent” can represent a task that the digital assistant is capable of performing, i.e., it is “actionable” or can be acted on. A “property” can represent a parameter associated with an actionable intent or a sub-aspect of another property. A linkage between an actionable intent node and a property node in ontology 760 can define how a parameter represented by the property node pertains to the task represented by the actionable intent node.
In some examples, ontology 760 can be made up of actionable intent nodes and property nodes. Within ontology 760, each actionable intent node can be linked to one or more property nodes either directly or through one or more intermediate property nodes. Similarly, each property node can be linked to one or more actionable intent nodes either directly or through one or more intermediate property nodes. For example, as shown in
In addition, property nodes “cuisine,” “price range,” “phone number,” and “location” can be sub-nodes of the property node “restaurant,” and can each be linked to the “restaurant reservation” node (i.e., the actionable intent node) through the intermediate property node “restaurant.” For another example, as shown in
An actionable intent node, along with its linked concept nodes, can be described as a “domain.” In the present discussion, each domain can be associated with a respective actionable intent, and refers to the group of nodes (and the relationships there between) associated with the particular actionable intent. For example, ontology 760 shown in
While
In some examples, ontology 760 can include all the domains (and hence actionable intents) that the digital assistant is capable of understanding and acting upon. In some examples, ontology 760 can be modified, such as by adding or removing entire domains or nodes, or by modifying relationships between the nodes within the ontology 760.
In some examples, nodes associated with multiple related actionable intents can be clustered under a “super domain” in ontology 760. For example, a “travel” super-domain can include a cluster of property nodes and actionable intent nodes related to travel. The actionable intent nodes related to travel can include “airline reservation,” “hotel reservation,” “car rental,” “get directions,” “find points of interest,” and so on. The actionable intent nodes under the same super domain (e.g., the “travel” super domain) can have many property nodes in common. For example, the actionable intent nodes for “airline reservation,” “hotel reservation,” “car rental,” “get directions,” and “find points of interest” can share one or more of the property nodes “start location,” “destination,” “departure date/time,” “arrival date/time,” and “party size.”
In some examples, each node in ontology 760 can be associated with a set of words and/or phrases that are relevant to the property or actionable intent represented by the node. The respective set of words and/or phrases associated with each node can be the so-called “vocabulary” associated with the node. The respective set of words and/or phrases associated with each node can be stored in vocabulary index 744 in association with the property or actionable intent represented by the node. For example, returning to
Natural language processing module 732 can receive the token sequence (e.g., a text string) from STT processing module 730, and determine what nodes are implicated by the words in the token sequence. In some examples, if a word or phrase in the token sequence is found to be associated with one or more nodes in ontology 760 (via vocabulary index 744), the word or phrase can “trigger” or “activate” those nodes. Based on the quantity and/or relative importance of the activated nodes, natural language processing module 732 can select one of the actionable intents as the task that the user intended the digital assistant to perform. In some examples, the domain that has the most “triggered” nodes can be selected. In some examples, the domain having the highest confidence value (e.g., based on the relative importance of its various triggered nodes) can be selected. In some examples, the domain can be selected based on a combination of the number and the importance of the triggered nodes. In some examples, additional factors are considered in selecting the node as well, such as whether the digital assistant has previously correctly interpreted a similar request from a user.
User data 748 can include user-specific information, such as user-specific vocabulary, user preferences, user address, user's default and secondary languages, user's contact list, and other short-term or long-term information for each user. In some examples, natural language processing module 732 can use the user-specific information to supplement the information contained in the user input to further define the user intent. For example, for a user request “invite my friends to my birthday party,” natural language processing module 732 can be able to access user data 748 to determine who the “friends” are and when and where the “birthday party” would be held, rather than requiring the user to provide such information explicitly in his/her request.
Other details of searching an ontology based on a token string is described in U.S. Utility application Ser. No. 12/341,743 for “Method and Apparatus for Searching Using An Active Ontology,” filed Dec. 22, 2008, the entire disclosure of which is incorporated herein by reference.
In some examples, once natural language processing module 732 identifies an actionable intent (or domain) based on the user request, natural language processing module 732 can generate a structured query to represent the identified actionable intent. In some examples, the structured query can include parameters for one or more nodes within the domain for the actionable intent, and at least some of the parameters are populated with the specific information and requirements specified in the user request. For example, the user may say “Make me a dinner reservation at a sushi place at 7.” In this case, natural language processing module 732 can be able to correctly identify the actionable intent to be “restaurant reservation” based on the user input. According to the ontology, a structured query for a “restaurant reservation” domain may include parameters such as {Cuisine}, {Time}, {Date}, {Party Size}, and the like. In some examples, based on the speech input and the text derived from the speech input using STT processing module 730, natural language processing module 732 can generate a partial structured query for the restaurant reservation domain, where the partial structured query includes the parameters {Cuisine=“Sushi” }) and {Time=“7 pm”}. However, in this example, the user's utterance contains insufficient information to complete the structured query associated with the domain. Therefore, other necessary parameters such as {Party Size} and {Date} may not be specified in the structured query based on the information currently available. In some examples, natural language processing module 732 can populate some parameters of the structured query with received contextual information. For example, in some examples, if the user requested a sushi restaurant “near me,” natural language processing module 732 can populate a {location} parameter in the structured query with GPS coordinates from the user device.
In some examples, natural language processing module 732 can pass the generated structured query (including any completed parameters) to task flow processing module 736 (“task flow processor”). Task flow processing module 736 can be configured to receive the structured query from natural language processing module 732, complete the structured query, if necessary, and perform the actions required to “complete” the user's ultimate request. In some examples, the various procedures necessary to complete these tasks can be provided in task flow models 754. In some examples, task flow models 754 can include procedures for obtaining additional information from the user and task flows for performing actions associated with the actionable intent.
As described above, in order to complete a structured query, task flow processing module 736 may need to initiate additional dialogue with the user in order to obtain additional information, and/or disambiguate potentially ambiguous utterances. When such interactions are necessary, task flow processing module 736 can invoke dialogue flow processing module 734 to engage in a dialogue with the user. In some examples, dialogue flow processing module 734 can determine how (and/or when) to ask the user for the additional information and receives and processes the user responses. The questions can be provided to and answers can be received from the users through I/O processing module 728. In some examples, dialogue flow processing module 734 can present dialogue output to the user via audio and/or visual output, and receives input from the user via spoken or physical (e.g., clicking) responses. Continuing with the example above, when task flow processing module 736 invokes dialogue flow processing module 734 to determine the “party size” and “date” information for the structured query associated with the domain “restaurant reservation,” dialogue flow processing module 734 can generate questions such as “For how many people?” and “On which day?” to pass to the user. Once answers are received from the user, dialogue flow processing module 734 can then populate the structured query with the missing information, or pass the information to task flow processing module 736 to complete the missing information from the structured query.
Once task flow processing module 736 has completed the structured query for an actionable intent, task flow processing module 736 can proceed to perform the ultimate task associated with the actionable intent. Accordingly, task flow processing module 736 can execute the steps and instructions in the task flow model according to the specific parameters contained in the structured query. For example, the task flow model for the actionable intent of “restaurant reservation” can include steps and instructions for contacting a restaurant and actually requesting a reservation for a particular party size at a particular time. For example, using a structured query such as: {restaurant reservation, restaurant=ABC Café, date=3/12/2012, time=7 pm, party size=5}, task flow processing module 736 can perform the steps of: (1) logging onto a server of the ABC Café or a restaurant reservation system such as OPENTABLE®, (2) entering the date, time, and party size information in a form on the website, (3) submitting the form, and (4) making a calendar entry for the reservation in the user's calendar.
In some examples, task flow processing module 736 can employ the assistance of service processing module 738 (“service processing module”) to complete a task requested in the user input or to provide an informational answer requested in the user input. For example, service processing module 738 can act on behalf of task flow processing module 736 to make a phone call, set a calendar entry, invoke a map search, invoke or interact with other user applications installed on the user device, and invoke or interact with third-party services (e.g., a restaurant reservation portal, a social networking website, a banking portal, etc.). In some examples, the protocols and application programming interfaces (API) required by each service can be specified by a respective service model among service models 756. Service processing module 738 can access the appropriate service model for a service and generate requests for the service in accordance with the protocols and APIs required by the service according to the service model.
For example, if a restaurant has enabled an online reservation service, the restaurant can submit a service model specifying the necessary parameters for making a reservation and the APIs for communicating the values of the necessary parameter to the online reservation service. When requested by task flow processing module 736, service processing module 738 can establish a network connection with the online reservation service using the web address stored in the service model, and send the necessary parameters of the reservation (e.g., time, date, party size) to the online reservation interface in a format according to the API of the online reservation service.
In some examples, natural language processing module 732, dialogue flow processing module 734, and task flow processing module 736 can be used collectively and iteratively to infer and define the user's intent, obtain information to further clarify and refine the user intent, and finally generate a response (i.e., an output to the user, or the completion of a task) to fulfill the user's intent. The generated response can be a dialogue response to the speech input that at least partially fulfills the user's intent. Further, in some examples, the generated response can be output as a speech output. In these examples, the generated response can be sent to speech synthesis module 740 (e.g., speech synthesizer) where it can be processed to synthesize the dialogue response in speech form. In yet other examples, the generated response can be data content relevant to satisfying a user request in the speech input.
Speech synthesis module 740 can be configured to synthesize speech outputs for presentation to the user. Speech synthesis module 740 synthesizes speech outputs based on text provided by the digital assistant. For example, the generated dialogue response can be in the form of a text string. Speech synthesis module 740 can convert the text string to an audible speech output. Speech synthesis module 740 can use any appropriate speech synthesis technique in order to generate speech outputs from text, including, but not limited, to concatenative synthesis, unit selection synthesis, diphone synthesis, domain-specific synthesis, formant synthesis, articulatory synthesis, hidden Markov model (HMM) based synthesis, and sinewave synthesis. In some examples, speech synthesis module 740 can be configured to synthesize individual words based on phonemic strings corresponding to the words. For example, a phonemic string can be associated with a word in the generated dialogue response. The phonemic string can be stored in metadata associated with the word. Speech synthesis model 740 can be configured to directly process the phonemic string in the metadata to synthesize the word in speech form.
In some examples, instead of (or in addition to) using speech synthesis module 740, speech synthesis can be performed on a remote device (e.g., the server system 108), and the synthesized speech can be sent to the user device for output to the user. For example, this can occur in some implementations where outputs for a digital assistant are generated at a server system. And because server systems generally have more processing power or resources than a user device, it can be possible to obtain higher quality speech outputs than would be practical with client-side synthesis.
Additional details on digital assistants can be found in the U.S. Utility application Ser. No. 12/987,982, entitled “Intelligent Automated Assistant,” filed Jan. 10, 2011, and U.S. Utility application Ser. No. 13/251,088, entitled “Generating and Processing Task Items That Represent Tasks to Perform,” filed Sep. 30, 2011, the entire disclosures of which are incorporated herein by reference.
4. Processes for Operating a Digital Assistant
At block 805, a natural-language user input is received by a user device, such as the user device 104 of
At block 810, an intent, and optionally, one or more parameters associated with the intent, are identified. The intent and parameters may be derived from the natural-language user input, for example. In some examples, a text string is obtained from the natural-language user input and the intent and parameters are derived from the text string. Text strings may be obtained using any known speech-to-text methodologies.
As described, intents may correspond to tasks requested by a user. Accordingly, identifying (e.g., determining) an intent may include identifying a task specified in the natural-language user input and/or inferring an intent corresponding to a requested task based on language and/or context of the natural-language user input. Intents may correspond to any type of tasks performed by a user device and, in particular, may correspond to tasks performed by one or more applications of a user device, as described in further detail below.
Because a device of a first type may perform different tasks than devices of a second type, intents and/or parameters may be identified based on a type of a device. By way of example, a device of a first type may perform tasks associated with intents for reserving a car and a device of a second type may perform tasks associated with intents for providing a status of a car reservation after the reservation has been made.
In some examples, intents are associated with (e.g., included in) one or more domains (e.g., intent categories, set of intents). Each domain may include a particular class of intents, allowing for intents to be intuitively grouped. For example, intents to reserve a car, cancel a car reservation, and/or any other intents directed to tasks commonly associated with ride-booking may be included in a ride-booking domain. In another example, intents to check-in to a flight, cancel a flight, reschedule a flight, retrieve flight information, and/or any other intents directed to tasks commonly associated with air travel may be included in an air travel domain. In another example, intents to provide directions, retrieve traffic information, and/or any other intents directed to tasks commonly associated with navigation may be included in a navigation domain. In yet another example, intents to send payments, receive payments, and/or any other intents directed to tasks commonly associated with financial transactions may be included in a financial transactions domain.
Identifying parameters may include identifying portions of the natural-language input that specify a manner in which a task corresponding to the intent is to be performed. Parameters may, for instance, specify locations (e.g., addresses or places of interest), times, dates, contacts, types, text (e.g., to be inserted into an email or message), quantities (e.g., distance, money) and, in some instances, names of software applications to perform the task. Parameters may further specify other conditions for tasks, examples of which are described herein.
Parameters may be identified, for instance, using one or more detectors. Each of the detectors may be configured to parse the natural-language user input (e.g., a textual representation of the natural-language user input) and identify one or more respective data types. By way of example, a first detector may be configured to identify user contacts and a second detector may be configured to identify addresses. Other detectors may identify data types including, but not limited to, phone numbers, names, persons of interest, places of interest, URLs, times, flight numbers, package tracking numbers, and dates.
In some examples, words of a custom vocabulary may be identified in the natural-language user input, for instance, as parameters. In one example, one or more detectors may be configured to identify user-specific terms. User-specific terms may include any terms associated with and/or specified by a user of the electronic device, such as contact names, addresses, phone numbers, and the like. As another example, one or more detectors may be configured to identify custom vocabulary of one or more applications, respectively. Custom vocabulary of an application may include a name of the application (e.g., Uber, Lyft, Instagram, Flickr, WeChat, WhatsApp, LINE, Viber) and/or may include other terms uniquely associated with the application (e.g., UberX, DM, Lyftline, ZipCar). In some examples, custom vocabulary may be included in the vocabulary index 744 (
In some examples, one or more applications may register with an application registration service. The service may be hosted by or otherwise accessible to the server 108 and/or the user device 104. Registering in this manner may include specifying one or more custom vocabulary terms associated with the application and, optionally, one or more language models for the custom vocabulary terms. The language models may, for instance, provide one or more pronunciations for each of the custom vocabulary terms. Language models provided in this manner may thereafter be used to help identify use of such custom terms during analysis of natural-language user inputs.
In some examples, one or more parameters may be inferred from the natural-language user input. In the example “Get me a ride to the stadium,” for instance, it may be inferred that one parameter associated with the intent is a current location of the user. In another example, “Pay John back for the meal,” it may be inferred that one parameter associated with the intent is an amount of money.
In some examples, an intent is identified based on the natural-language user input, and parameters associated with the intent are thereafter identified. Further, in some examples, parameters not associated with the intent are not identified. By way of example, an intent corresponding to directions (e.g., driving directions) may be associated with parameters specifying one or more locations (e.g., an origin and/or a destination), and/or a mode of transit. Consider, for instance, the example “Get me real-time driving directions to 1200 Main Street.” In this instance, the identified intent corresponds to a task for providing directions, “driving” is a parameter specifying a mode of transit, and “1200 Main Street” is a parameter specifying a location. The portion of the user input “real-time” is not a parameter associated with the identified intent. Accordingly, while “real-time” may be a valid parameter for some intents, “real-time” will not be identified as a parameter during operation.
In other examples, one or more parameters first may be identified and the intent may be identified based on the identified one or more parameters. In yet other examples, the intent and parameters associated with the intent may be identified concurrently.
In some examples, intents and parameters of a natural-language user input are identified by the user device, such as the user device 104 of
Optionally, once an intent and any parameters have been identified, the user device confirms identified intents and/or parameters with a user of the user device, and in some instances, confirms inferred parameters with the user of the user device. Confirming in this manner may include prompting a user to confirm the identified intent and all identified parameters associated with the intent in response to a natural-language query. By way of example, in response to the user input “Get me a ride to the airport,” the user device may provide a natural-language query “Do you want a ride to the airport from your current location?” The natural-language query provided by the user device may be provided to a user as text, using a touch-sensitive display of the user device, and/or may be provided to a user as speech using an audio output component of the user device (e.g., speaker 211 of
Optionally, the user device confirms individual parameters. In some examples, this may include prompting a user to confirm one or more parameters. By way of example, in response to the user input “Get me a ride to the station,” the user device may provide a natural language query “Do you mean Penn Station?” As another example, in response to the user input “Pay John $5.00,” the user device may provide a natural language query “Do you mean John Smith?” Natural-language queries provided by the user device may be provided to a user as text, using a touch-sensitive display of the user device and/or may be provided to a user as speech using an audio output component of the user device (e.g., speaker 211 of
In some examples, one or more parameters are contextual. Accordingly, the user device may determine (e.g., resolve) one or more parameters based on context information. Context information may be context information of the user device (or any data stored therein) and/or context information of a user of the user device. By way of example, a natural-language user input may recite “Get me a car at my house.” Because “my house” is a contextual parameter and does not specify an actual location, the user device may determine a location of the user device and identify the determined location as a parameter (i.e., in lieu of “my house”). As another example, a natural-language user input may recite “Call him back.” Because “him” is a contextual parameter and does not specify a specific contact, the user device may determine a contact intended by “him” and pass the contact as a parameter (i.e., in lieu of “him”).
In some examples, identified intents and parameters are implemented as an intent object. When implemented as such, each intent object is an object (e.g., data structure, programming object) and corresponds to a respective intent. Each intent object may include one or more fields (e.g., instance variables) corresponding to one or more parameters, respectively. For example, an intent object corresponding to a ride-booking intent may be generated (e.g., instantiated) like the following pseudocode:
As will be appreciated by one of ordinary skill, the pseudocode above is exemplary, and an intent object may be implemented in other manners.
By implementing an intent as an intent object, intents may be language agnostic. As described, intents may be derived from natural-language user inputs. A same intent, therefore, may be derived from natural-language inputs provided in any number of spoken languages. By way of example, the English natural-language user input “Send an Uber to 1200 Park Avenue” and the German natural-language user input “Senden Sie eine Uber auf 1200 Park Avenue” would each result in a same intent being identified (and result in a same intent object).
At block 815, a software application associated with the intent may be identified (e.g., selected). Generally, this may include identifying one or more software applications configured to perform a task corresponding to the intent.
In some examples, identifying software applications may include determining one or more domains corresponding to an intent and identifying applications corresponding to the domain(s). In some examples, one or more machine learning mechanisms (e.g., neural networks) are used to identify one or more candidate domains. For instance, each of the candidate domains is assigned a relevance score, and the candidate domains are ranked using the relevance scores. Relevance scores may be determined by providing text of the natural-language user input and/or context of the natural-language user input to a neural network. The top ranked one or more candidate domains may be determined as the one or more domains corresponding to the intent. In some instances, relevance scores of two or more top ranked candidate domains may be within a threshold. The user device may differentiate between these candidate domains using an ontology, such as the ontology 760.
As described, one or more software applications may be registered with an application registration service. Registering in this manner may include specifying which domains (e.g., ride-booking domain, air travel domain, navigation domain) correspond to the software application. An application corresponding to a domain may support each of the intents specified by the domain or may support only some intents specified by the domain. In some examples, applications may be registered with individual intents, and identifying applications may include identifying applications corresponding to the identified intent.
In some examples, applications are identified according to the identified parameters. By way of example, based on a user input “Get me a black car to the airport,” an intent to reserve a car using a ride-booking service and a parameter specifying a type of car (i.e. “black car”) may be identified. Although several available applications may be configured to reserve a car generally, only those applications configured to reserve a “black car” may be identified. As another example, based on a user input “Send a message to Sam saying ‘Hello!’” Although several applications may be configured to send a message, only those applications having contact information for a contact Sam may be identified.
In some examples, only applications installed on and/or accessible to the user device are identified. For instance, although several available applications may be configured to perform a task, only those accessible to the user device are identified. Accessible applications include applications residing and/or installed on the user device and further include applications that may be remotely accessed by the user device, for instance on one or more other devices.
Thus, in at least some embodiments, identified applications are applications configured to perform a task according to identified parameters and accessible to the user device. In some examples, multiple applications may satisfy these criteria, yet the user device may wish to identify fewer applications, or a single application. Accordingly, applications may further be identified based on previous use of the applications by the user device. In some examples, for a given intent, an application most recently used to perform a task corresponding to the intent is identified. Consider the user input “Place a call to Rob” in which an intent (i.e., place a call) and a parameter (i.e. “Rob”) may be identified. In this example, the application last used to place a call is identified. In other examples, an application most commonly used to perform tasks corresponding to intent is identified. For the same example, an application most commonly used to place calls is identified. In some examples, applications are further selected in accordance with one or more parameters. For instance, an application recently used to place a call to the contact Rob is identified, or an application most commonly used to place a call to the contact Rob is identified. In some examples, a default application may be specified for one or more particular tasks and/or parameters, for instance, by a user or a digital assistant. A user may specify, for instance, that a first application is to be used when calling a first contact and a second application is to be used when calling a second contact.
As described, a natural-language user input may include custom vocabulary that may be identified as one or more parameters. In some examples, such custom vocabulary includes application names, and accordingly an application may be identified based on presence of custom vocabulary in the input. A natural-language user input may, for instance, recite “Call Rob using Skype.” In response, the software application Skype may be the identified software application. In another example, a natural-language input may recite “Play The Beatles on Spotify,” and in response, the software application Spotify may be the identified software application.
Custom vocabulary may further include terms uniquely associated with an application. Accordingly, such terms may be identified as parameters and, optionally, used to identify an application. In the example “Get me an UberX,” “UberX” is a term of a custom vocabulary for the software application Uber and as a result Uber is identified as the software application. In the example “Tweet I hope the Sharks win the cup,” “Tweet” is a term of a custom vocabulary for the software application Twitter, and as a result Twitter is identified as the software application.
Custom vocabulary may further include terms uniquely associated with a user. Accordingly, such terms may be identified as parameters and, optionally, used to identify an application. In the example “Call Boss”, “Boss” is a user-specific term of a custom vocabulary and may be identified as a parameter, for instance, for identifying a contact in a user contact list.
In some examples, the user device may receive custom vocabulary from another device. Accordingly, a user device may be configured to identify vocabulary otherwise not known to the device. In some examples, the user device may receive custom vocabulary periodically and/or in response to establishing connectivity with another device. In other examples, a user device may retrieve custom vocabulary from another device in response to determining that the user has provided an unrecognized term.
In some examples, no application configured to perform the task according to the identified parameters may be accessible to the user device. As a result, the user device may access (e.g., download and/or install) an application configured to perform the task according to the identified parameters. In some examples, the user device may identify a plurality of software applications and provide the user with a list of software applications. The user may select one or more of the applications, and the user device may access the one or more selected applications.
At block 820, the intent and parameters are provided to the identified software application. In some examples, the intent and parameters are provided to the software application as an intent object.
In some examples, the intent and parameters may be selectively provided to the software application based on a state of the user device. As an example, intents and parameters may be selectively provided to the user device based on whether the user device is in a lock state. In some examples, an application may be allowed to receive particular intents and parameters when the device is in a lock state. In other examples, an application may be allowed to receive particular intents and parameters when the user device is not in a lock state. Whether an application can receive a particular intent given a particular state of the user device may be specified by the software application, for instance during a registration process with an application registration service.
At block 825, the user device may receive one or more responses from the software application. In some examples, the user device receives a response for each parameter provided to the software application. Each of the responses may indicate, for instance, whether a parameter is valid or whether additional user input is required. If a response indicates that a parameter is valid, no further action is taken with respect to the parameter.
If a response provided by the software application does not indicate that a parameter is valid, the response may indicate that clarification of the parameter is required. For instance, a parameter may be improper (i.e., invalid) and the software application may request additional input from the user. As an example, consider the user input “Send a blue car to 1200 Main Street.” Although the user has requested a blue car, the ride-booking application (e.g., Uber, Lyft) may not allow for the selection of a blue car (e.g., blue car may not be a supported parameter or the application may determine that no blue car is currently available). Accordingly, in the event the parameter is improper (e.g., the user has specified an invalid type of car), the application may request that a proper (e.g., valid) value for the parameter (e.g., type of car) be provided. With reference to
If a response provided by the software application does not indicate that a parameter is valid, the response may indicate that disambiguation of the parameter is required. In the example user input “Call Tom,” for instance, a parameter for a contact Tom may be provided to a software application configured to place calls. If, in determining contact information (e.g., a phone number) for the contact Tom, the software application determines that multiple contacts with the name “Tom” exist, the software application may request an indication as to which “Tom” was intended.
The software application may request that the user device disambiguate a parameter based on user input. As part of the request, the software application optionally includes in the response a disambiguation list including a plurality of candidate parameters. If the software application requests disambiguation based on user input, the user device may provide a natural-language query asking the user to select a candidate parameter. Further, candidate parameters of the disambiguation list may be displayed to allow for user selection. The user may select one of the candidate parameters, for instance, by providing a touch-input and/or by providing a natural-language user input, and the user device may provide the selected candidate parameter to the software application.
The software application may request that the user device disambiguate a parameter without user input. Accordingly, the user device may automatically disambiguate the parameter based on context of the user device, software application, and/or parameter. By way of example, the user device may select a contact “Tom” most recently contacted by the user.
In some instances, a software application may not have access to information required to resolve and/or disambiguate a parameter. A software application may not have access to a contact list and cannot determine whether one, let alone, multiple entries for a name exist. As a result, the software application may request that the user device disambiguate any parameters that the software application cannot resolve. Additionally or alternatively, the software application may request that the user device provide candidate parameters to the software application such that the software application can perform the disambiguation. With reference to the previous example, the software application may request that the device disambiguate “Tom” or provide a list of all “Tom” contacts such that the software application may disambiguate “Tom” itself.
Performing a task may require that one or more specific types of parameters are specified by a user. Yet in some examples, a natural-language user input may omit one or more required parameters. Accordingly, the software application may optionally provide one or more responses indicating which, if any, required parameters were not specified. Consider the user input “Send a car to 1200 Main Street.” Although a car is generally requested by way of the user input, the ride-booking application identified based on the user input may require a selection of a particular type of car. Accordingly, in the event the parameter is missing (e.g., the user has not specified a type of car), the application may request that a recognized value for the parameter (e.g., type of car) be provided. With reference once again to
Once the software application has indicated that each parameter is valid and no additional information is required, at block 830, the user device may confirm intent with the software application. In particular, the user device may request a notification that, given the intent and the parameters associated with the intent, the software application can successfully perform a task corresponding to the intent.
Once the software application provides a notification indicating that the software application can perform the task, optionally, the user device confirms intent with the user. For example, the user device may provide the natural-language query “I can get an uberX at your location. Shall I request it?” The user may confirm or reject the intent by way of either a touch input or a natural-language input. In some examples, the notification provided by the software application may include information to provide to the user. The information may, for instance, allow the user to make a more informed decision when prompted for confirmation. For instance, the user device may provide the natural-language query “I can get an uberX to your location in 9 minutes. Shall I request it?”
Thereafter, the user device causes (e.g., instructs) the software application to perform the task corresponding to the intent in accordance with the parameters.
In other examples, once the software application provides a notification indicating that the software application can perform the task, the user device causes the software application to perform the task without user confirmation. For example, the user may provide the natural language user input “Get me a Lyft to the airport” and once the identified application Lyft indicates it can reserve a car for the user, the software application performs the task automatically without user confirmation. In some examples, whether a task is performed without user confirmation is based on a type of the user device. A device of a first type, such as a mobile phone, may require user confirmation for one or more tasks, and a device of a second type, such as a smart watch, may perform the one or more tasks without first receiving user confirmation.
At block 835, the user device receives a result response from the software application indicating whether the software application performed the task successfully.
A result response indicating failure to perform a task may further indicate one or more reasons for the failure. In some examples, the user device may provide an output, such as a natural-language output or a textual output, to the user indicating the one or more reasons for the failure.
A result response indicating success in performing a task may include one or more response items. Each response item may be a result determined (e.g., received, generated) by the software application when performing the task. By way of example, response items corresponding to reserving a car with a ride-booking application may include car type, license plate number, driver name, arrival time, current car location, pick-up location, destination, estimated trip time, estimated cost, and estimated trip route, service type (e.g., Uber pool vs. uberX). As another example, response items corresponding to initiating a workout session with a fitness application may include confirmation that the session has been initiated, workout duration, type of activity, and one or more goals.
In some examples, one or more of the response items may be provided to a user. With reference to
In some examples, the software application may specify the manner in which one or more response items are provided to the user. That is, the software application may determine the manner in which response items are displayed and/or spoken to the user and the digital assistant may provide each of the response items accordingly.
In some examples, the software application may specify how response items are provided using a UI extension of the digital assistant. The user device may, for instance, provide the software application with a set of view controller parameters (e.g., fields that can be supplied to a view controller for display), and in response, the software application may provide a set of view controller parameter values. The set of view controller parameter values may indicate which response items are to be displayed in various fields of a view controller and/or the manner in which the response items are displayed in each field. In this manner, the digital assistant may control (e.g., limit) the manner in which response items are displayed by the software application.
In other examples, the digital assistant may determine how response items are provided. In yet other examples, the software application is invoked such that a user may interact with the software application directly. Invoking the application in this manner may terminate a session with the digital assistant in some examples.
In some examples, once a task has been performed successfully, the user device (e.g., the digital assistant of the user device) may provide one or more notifications to the user indicating a status of an operation associated with the task. As an example, once a car has been reserved in response to a user input, the user device may provide a location, estimated time of arrival, and/or route of the reserved car. Notifications may further indicate whether an error associated with the operation has occurred. If, for instance, a reserved car is no longer available, the user may be notified. Notifications provided in this manner may be provided periodically and/or in real time in some examples.
In some examples, once a task has been performed successfully, the user device may adjust an operation associated with the task. Adjusting an operation associated with the task may include adjusting (e.g., removing, adding, and/or modifying) a parameter associated with the intent and providing the intent to the software application with the adjusted parameter. By way of example, a software application may reserve a car and indicate to the user that the car has been successfully reserved. Thereafter, the car reservation may be adjusted by specifying a new destination for the ride. In other examples, adjusting the operation includes providing a different intent to the software application. The intent may be an intent of a different domain, for instance.
In some examples, an operation is adjusted in response to selection of an affordance displayed by the device. As an example, once a task has been successfully performed, the device may display one or more affordances which a user may select to acknowledge successful performance of the task and/or indicate the manner in which the user wishes to adjust an operation associated with the task. Affordances may be displayed based on context in some examples. As an example, affordances for a car reservation may allow for the modification of a destination address or cancellation of the car reservation (
In some examples, a software application may fail to perform a task. In response, the device may display one or more affordances which a user may select to acknowledge failure of the task and/or request performance of a task. As an example, selection of an affordance may cause the user device to perform the same task that previously failed. This may include providing a same intent to the software application. The intent may with the same or different parameters and/or parameter values. As another example, selection of an affordance may cause the device to perform a different task, such as a task associated with a different domain.
As an example, during operation, a software application may fail to make a payment in response to a user request (
In some examples, permissions of a software application are verified, for instance, prior to an intent and parameters being provided to the software application. The user device may, for instance, determine whether a software application is permitted to access data associated with a particular intent. The determination may be made based on permissions configured on the user device. In the example “Get me a black car at my location,” “location” may be a contextual parameter requiring contextual information (e.g., location data) of the user device. Thus, prior to resolving the location of the user device and providing the location as a parameter to the software application, the user device may first determine whether the software application is permitted to access the information. If the software application is permitted to access the data, operation proceeds as described. If the software application is not permitted to access the data, the intent and parameters are not provided to the software application and the task is not performed. In some instances, permissions of software applications may be exchanged between devices. By way of example, a first device including a software application may provide permissions of the software application to a second device of the user including the same software application.
In some examples, a natural-language input may include a plurality of task requests. Thus, based on the natural-language input, a plurality of intents and/or a plurality of applications may be identified. Parameters associated with each of the intents are optionally identified as well. The natural-language input “Get me a ride to the airport and tell me my flight status,” for instance, may include both an intent to reserve a car and an intent to retrieve status of a user's flight. In some examples, tasks corresponding to each of the intents may be performed sequentially or concurrently.
In some examples, a natural-language input may include a plurality of related task requests. For instance, in some examples, a requested task of a natural-language user input may depend on completion of another requested task of the natural-language input. In the example “Email me directions to the airport,” two tasks are requested: a first task to provide directions and a second task to email. The parameter “me” specifies a particular contact and is a parameter for the intent to email, and the parameter “airport” is a parameter specifying a destination for the intent to provide directions. Because emailing the directions requires that the directions first be provided, the second task (email) depends on the first task (provide directions). Accordingly, the task to retrieve directions is performed first.
In some examples, intents may be provided between applications. For example, an application may provide an intent object to another application to cause the application to perform a task. In the instant example, both intents (provide directions and email) may be provided to a maps application to provide the requested directions. The second intent, or the intent to email, may be provided to the maps application as a parameter, for instance. In accordance with the first intent, or the intent to provide directions, the maps application may provide the requested directions. Subsequently, the maps application may provide the second intent to the email application, for instance as an intent object including the directions as parameters. In response, the email application may email the directions as requested.
As another example, a user may provide a user input “Get me a ride to the Sharks game” while viewing a sports application (e.g., ESPN application). In response, the sports application, having information pertaining to the game, may pass an intent (e.g., reserve car) and a parameter (e.g., address of game) to a ride-booking application. The intent and parameter may be provided as an intent object in some examples.
As yet another example, a user may provide a user input “Pay my brother $5.00,” while using a ride-booking application. In response, the ride-booking application may pass an intent (e.g., pay) and a parameter ($5.00) to a payment application (e.g., PayPal, Venmo, online payment service). As described, the intent and parameter may be provided as an intent object in some examples.
In some examples, intents may be provided between devices. As described, devices of different types may be configured to perform different respective tasks. In some instances, a natural-language user input may be provided to a first device not configured to perform a task corresponding to an intent of the natural-language user input. The first device may provide the intent to a second device such that the task associated with the intent is performed. As an example, a first device (e.g., mobile phone) may be configured to reserve a car and a second device (e.g., smart watch) may be configured to provide a status of the reserved car. If, for instance, the user requests the car reservation (e.g., “Get me an Uber to the airport”) using the second device, the second device may derive an intent from the user input and determine that the second device cannot perform a task associated with the derived intent. The second device may thereafter provide the derived intent to the first device such that the task can be performed by the first device.
As described, a device may provide natural-language outputs to a user during operation. Natural-language queries, for instance, may be provided to a user to request confirmation of a parameter. In some examples, natural-language outputs may be provided to the user in accordance with a task flow associated with one or more software applications. The task flow may, for instance, specify the manner and type of natural-language outputs provided. By way of example, a user may provide a natural-language input (e.g., “Get me a Lyft home.”). After receiving an intent and any identified parameters, the software application may indicate that one or more parameters require clarification and/or additional parameters (e.g., location of user, address of “home”, type of vehicle, etc.) are required to perform a task associated with the intent. Accordingly, the device may provide to a user one or more natural-language queries specified by the task flow such that all required parameters may be provided to the software application.
In some examples, one or more task flows are stored on the device. Thus, the device may provide natural-language outputs (e.g., natural-language queries) to a user without retrieving individual queries of the task flow from an external device during operation. Storing task flows in this manner may improve operational efficiency. In some examples, task flows are retrieved and/or stored on the user device when corresponding software applications are stored on the device.
At block 905, a natural-language user input is received by a user device, such as the user device 104 of
At block 910, an intent and, optionally, one or more parameters associated with the intent, are identified. The intent and parameters may be derived from the natural-language user input. As previously described, intents may correspond to any type of tasks performed by a user device and, in particular, may correspond to tasks performed by one or more applications of a user device. Parameters associated with the intent may identify portions of the natural-language input that specify a manner in which a task corresponding to the intent is to be performed. In the example, “Get me a ride to the airport,” the intent corresponds to a task to reserve a car and “airport” is a parameter specifying a destination. Given that the intent of the user is to reserve a car, the location of the user may be a parameter (e.g., inferred parameter) as well.
At block 915, a determination is made as to whether a task corresponding to the intent can be fulfilled. In some examples, the determination may include determining whether an application configured to perform the task in accordance with the parameters is accessible to the user device. In the instant example, a determination is made as to whether the user device can access an application configured to reserve a car at a location of the user device. As described, accessible applications are those locally stored on the user device as well as those remotely accessible by the user device.
In accordance with a determination that the task corresponding to the intent can be fulfilled, at block 920, the intent and the parameter are provided to a software application. For example, if, at block 915, it is determined that the user device can access a software application configured to perform the requested task according to any identified parameters, the intent and parameters are provided to the application to perform the task. In the instant example, this includes determining that a software application configured to reserve a car at a location of the user device is accessible to the user device. For instance, the ride-booking application Lyft may be installed on the user device and may be used to reserve a car in accordance with examples described herein.
In accordance with a determination that the task corresponding to the intent cannot be fulfilled, at block 925, a list of one or more software applications is provided. The list of one or more software applications may, for instance, include one or more software applications configured to perform the task associated with the intent according to any identified parameters. In some examples, one or more software application of the list may be identified, for instance, based on one or more domains associated with the intent (recall that applications may be registered with one or more domains). With reference to
At block 930, the user device receives a user input indicative of a selection of one or more software applications of the list of one or more software applications. The user input may be a touch input on a touch-sensitive display of the user device and/or may be a natural-language user input.
At block 935, the intent and parameters are provided to the software application selected by the user. In some examples, providing the intent and parameters includes downloading and/or installing the software application such that the user device may access the software application locally. In other examples, this includes remotely accessing the selected application.
As described, in response to the intent and parameters, the software application may provide one or more responses. Once parameters have been validated, the user device may confirm intent with the software application and cause the software application to perform the task. The user device may thereafter receive result responses and, optionally, provide one or more response items of the result response to the user.
Reference is made herein to providing a user of a user device with natural-language outputs and/or natural language queries. In some examples, the manner in which natural-language outputs and queries are provided to a user may depend on a type or state of the user device. If, for instance, the user device is a mobile phone, the user device may provide a query using both text and audio. If, on the other hand, the user device is a speaker, the user device may provide the query using only audio. As another example, if the user device is a mobile phone not paired with headphones, the user device may provide a query using text and/or a relatively short natural-language query. If the user device is paired with headphones, the user device may provide the query using only a relatively long natural-language query.
Generally, data flows associated with the application registration process are directed to registration of an application with an application registration service (e.g., validation service) by which applications, and custom vocabulary corresponding thereto, can be accessed and/or employed by a digital assistant to perform tasks.
In operation, at data flow 1031, an application is submitted to an application review module 1032. Both a language model corresponding to the application and intents of the application may be submitted as well. The language model may include custom vocabulary for the application. In turn, at data flow 1033, the application review module 1032 may provide the application, custom vocabulary, and/or intents of the application to the validation service 1034. The validation service 1034 may determine whether to validate the application, for instance, based on whether the application is operable with a digital assistant. This may include for instance, ensuring that any intents of the application correspond to one or more domains of the application. For instance, the validation service may reject a messaging application associated with intents to reserve cars because the domain and intents mismatch. The validation service 1034, at data flow 1035, may provide a validation response indicating whether the application is valid.
If the validation service 1034 indicates that the application is valid, the application review module 1032 provides the application (as verified) to the application store 1036. Generally, the application may be downloaded and/or accessed at the application store 1036 by the user device 1040 via the DA server 1038, as indicated by the data flow 1039. The user device 1040 may be the user device 104 of
Generally, data flows associated with performance of a task are directed to providing an intent and, optionally, one or more parameters to an application for performing a task corresponding to the intent.
In operation, at data flow 1043, the user device 1040 may provide a natural-language input to the DA server 1038. The natural-language input may be provided by the digital assistant 1042 of the user device 1040 in some examples. Based on the natural-language input, the DA server 1038 may identify one or more tasks requested in the natural-language input and one or more parameters associated with the intent. Additionally, the DA server 1038 may identify an application for performing a task with the intent. A name (or other form of identifier) of the identified application 1044 may be a parameter of the intent in some examples. At data flow 1045, the DA server 1038 thereafter provides the intent, parameters, and an identification of the identified application 1044 to the user device 1040 (e.g., the digital assistant 1042 of the user device 1040). The intent and parameters may be provided to the user device 1040 as an intent object in some examples.
In response, the digital assistant determines whether the identified application 1044 is permitted to access information associated with the identified parameters. For instance, if a parameter is a location of the user device 1040, the digital assistant queries data permissions 1046 to determine if the application 1044 is permitted to access location data.
In the event that the application is permitted to access data for each of the parameters, the user device (e.g., the digital assistant 1042 of the user device) provides the intent to the application. As illustrated, the application may reside on the user device 1040. In other examples, the application may reside on one or more other devices, and the intent may be transmitted to the application over one or more networks. As described, the application 1044 may thereafter request input from a user of the user device 1040 if the application determines that one or more parameters are missing, improper, and/or ambiguous. In some examples, queries for user input may be provided as natural-language queries generated by the DA server 1038. Accordingly, at data flow 1051, the user device 1040 may request, and thereafter, receive, one or more natural-language queries. Once all parameters have been resolved, the application 1044 may perform a task corresponding to the intent and provide a result response indicating whether the task was successfully performed.
One or more of the data flows of
At data flow 1065, validated vocabulary is provided from validation service 1034 to global application vocabulary store 1060. Generally, the global application vocabulary store may store language models and/or vocabulary for any number and/or versions of software applications. At data flows 1061 and 1063, speech training module 1062 and natural-language training module 1064 are trained to recognize and natural language process the application specific vocabulary supplied with the validated application. Based on the data, the global application vocabulary store may generate and/or train one or more language models that allow the digital assistant to recognize and process utterances containing the application specific vocabulary.
During operation of a user device, such as the user device 1040 of
At block 1105, the electronic device receives an audio input including a natural-language user input.
At block 1110, the electronic device identifies an intent object of a set of intent objects. The intent object is derived from the natural-language user input. In some examples, identifying an intent object of a set of intent objects comprises identifying the intent object of the set of intent objects based on a type of the electronic device.
At block 1115, the electronic device identifies a software application associated with the intent object of the set of intent objects. In some examples, identifying a software application associated with the intent object of the set of intent objects comprises identifying a first parameter associated with the intent object.
In some examples, the electronic device receives a plurality of terms from another electronic device; receiving a natural-language user input comprises receiving a natural-language user input including a term of the plurality of terms; and identifying a software application associated with the intent object of the set of intent objects comprises identifying the software application based on the term of the plurality of terms.
At block 1120, the electronic device provides the intent object to the software application. Providing the intent object causes the software application to perform a task associated with the intent object. In some examples, providing the intent object to the software application to cause the software application to perform a task associated with the intent object comprises providing the first parameter to the software application. In some examples, providing the intent object to the software application includes, after identifying the software application, determining whether a user input requesting cancellation or modification of the task has been received during a period of time, and in accordance with a determination that the user input requesting cancellation or modification of the task has not been received during the period of time, providing the intent object to the software application. In some examples, providing the intent object to the software application includes providing the intent object to the software application without user confirmation of the intent object.
In some examples, the electronic device identifies a plurality of candidate parameters associated with the intent and provides the plurality of candidate parameters to the software application.
In some examples, the electronic device receives a disambiguation request corresponding to a parameter from the software application, identifies a candidate parameter from a set of candidate parameters associated with the parameter, and provides the selected candidate parameter to the software application.
In some examples, the natural-language user input is a first natural-language user input. The electronic device receives, from the software application, a request for a second parameter associated with the intent object, provides a natural-language query based on the request, receives a second natural-language user input, identifies the second parameter, the second parameter derived from the second natural-language user input, and provides the second parameter to the software application.
In some examples, the electronic device receives, from the software application, a request for a parameter associated with the intent object, identifies, using the electronic device, a natural-language query based on the request, the natural-language query associated with the software application and the parameter; provides the natural-language query, receives a fourth user input, identifies the parameter based on the fourth user input, and provides the parameter to the software application.
At block 1125, the electronic device receives a result response indicating whether the task was successfully performed. The result response may be received from the software application.
At block 1130, the electronic device provides an output indicating whether the task was performed. In some examples, the output indicates that the software application successfully performed the task. In some examples, the output indicates that the software application failed to perform the task. In some examples, providing an output indicating whether the task was performed comprises receiving, from the software application, a set of view controller parameter values and providing the output according to the set of view controller parameter values.
In some examples, after providing the output, the electronic device receives a second input and, in response to the second input, adjusts an operation associated with the task. In some examples, adjusting an operation associated with the task includes adjusting the intent object, and providing the adjusted intent object to the software application. In some examples, adjusting the intent object includes adjusting a parameter of the intent object. In some examples, receiving a second input comprises detecting a selection of an affordance, and adjusting an operation associated with the task comprises adjusting the operation associated with the task in response to the selection of the affordance.
In some examples, after providing the output, the electronic device receives a third input, and in response to the third input, provides another intent object to the software application to cause the software application to perform a task associated with the another intent object. In some examples, receiving a third input comprises detecting a selection of an affordance, and providing another intent object to the software application to cause the software application to perform a task associated with the another intent object comprises providing the another intent object to the software application in response to the selection of the affordance. In some examples, the intent object and the another intent object are a same type of intent object and a parameter associated with the intent object and a parameter associated with the another intent object have a same value. In some examples, the intent object and the another intent object are a same intent object.
At block 1205, the electronic device identifies an intent object of a set of intent objects, wherein the intent object is derived from a natural-language user input.
At block 1210, the electronic device identifies a software application associated with the intent object of the set of intent objects.
At block 1215, the electronic device receives, from a second electronic device, a task flow associated with the software application. In some examples, receiving a task flow associated with the software application comprises receiving the task flow from another electronic device and storing the task flow on the electronic device.
At block 1220, the electronic device provides the intent object to the software application to cause the software application to perform a task associated with the intent object.
At block 1225, the electronic device receives a request from the software application
At block 1230, the electronic device determines a query based on the request. The query is determined in accordance with the task flow. In some examples, determining a query based on the request comprises retrieving the query from the task flow stored on the electronic device.
At block 1235, the electronic device provides the query using the touch-sensitive display.
At block 1240, the electronic device receives a second user input indicative of a query response. The second user input is received after providing the query in some examples. In some examples, the query response is indicative of a parameter associated with the intent object.
At block 1245, the electronic device provides the query response to the software application. In some examples, providing the query response to the software application comprises adjusting the intent object and providing the adjusted intent object to the software application.
In some examples, the electronic device receives, from the software application, a result response indicating whether the task was successfully performed and provides an output indicating whether the task was performed.
In accordance with some embodiments,
As shown in
In some examples, the processing unit 1408 is configured to receive (e.g., with the receiving unit 1410) an audio input including a natural-language user input; identify (e.g., with the identifying unit 1412) an intent object of a set of intent objects, wherein the intent object is derived from the natural-language user input; identify (e.g., with the identifying unit 1412) a software application associated with the intent object of the set of intent objects; provide (e.g., with the providing unit 1414) the intent object to the software application to cause the software application to perform a task associated with the intent object; receive (e.g., with the receiving unit 1410), from the software application, a result response indicating whether the task was successfully performed; and provide (e.g., with the providing unit 1414) an output indicating whether the task was performed.
In some examples, identifying a software application associated with the intent object of the set of intent objects comprises identifying (e.g., with the identifying unit 1412) a first parameter associated with the intent object, and providing the intent object to the software application to cause the software application to perform a task associated with the intent object comprises providing (e.g., with the providing unit 1414) the first parameter to the software application.
In some examples, the natural-language user input is a first natural-language input, and the processing unit 1408 is further configured to: receive (e.g., with the receiving unit 1410), from the software application, a request for a second parameter associated with the intent object; provide (e.g., with the providing unit 1414) a natural-language query based on the request; receive (e.g., with the receiving unit 1410) a second natural-language user input; and identify (e.g., with the identifying unit 1412) the second parameter, the second parameter derived from the second natural-language user input; and provide the second parameter to the software application.
In some examples, the output indicates that the software application successfully performed the task.
In some examples, the processing unit 1408 is further configured to, after providing the output, receive (e.g., with the receiving unit 1410) a second input; and in response to the second input, adjust (e.g., with the adjusting unit 1416) an operation associated with the task.
In some examples, adjusting an operation associated with the task comprises adjusting (e.g., with the adjusting unit 1416) the intent object and providing (e.g., with the providing unit 1414) the adjusted intent object to the software application.
In some examples, adjusting the intent object comprises adjusting (e.g., with the adjusting unit 1416) a parameter of the intent object.
In some examples, receiving a second input comprises detecting (e.g., with the detecting unit 1418) a selection of an affordance, and adjusting an operation associated with the task comprises adjusting (e.g., with the adjusting unit 1416) the operation associated with the task in response to the selection of the affordance.
In some examples, the output indicates that the software application failed to perform the task.
In some examples, the processing unit 1408 is further configured to, after providing the output, receive (e.g., with the receiving unit 1410) a third input; and in response to the third input, provide (e.g., with the providing unit 1414) another intent object to the software application to cause the software application to perform a task associated with the another intent object.
In some examples, receiving a third input comprises detecting (e.g., with the detecting unit 1418) a selection of an affordance, and providing another intent object to the software application to cause the software application to perform a task associated with the another intent object comprises providing (e.g., with the providing unit 1414) the another intent object to the software application in response to the selection of the affordance.
In some examples, the intent object and the another intent object are a same type of intent object and a parameter associated with the intent object and a parameter associated with the another intent object have a same value.
In some examples, the intent object and the another intent object are a same intent object.
In some examples, providing an output indicating whether the task was performed comprises receiving (e.g., with the receiving unit 1410), from the software application, a set of view controller parameter values; and providing (e.g., with the providing unit 1414) the output according to the set of view controller parameter values.
In some examples, the processing unit 1408 is further configured to receive (e.g., with the receiving unit 1410) a plurality of terms from another electronic device, receiving a natural-language user input comprises receiving (e.g., with the receiving unit 1410) a natural-language user input including a term of the plurality of terms, and identifying a software application associated with the intent object of the set of intent objects comprises identifying (e.g., with the identifying unit 1412) the software application based on the term of the plurality of terms.
In some examples, identifying an intent object of a set of intent objects comprises identifying (e.g., with the identifying unit 1412) the intent object of the set of intent objects based on a type of the electronic device.
In some examples, the processing unit 1408 is further configured to identify (e.g., with the identifying unit 1412) a plurality of candidate parameters associated with the intent; and provide (e.g., with the providing unit 1414) the plurality of candidate parameters to the software application.
In some examples, the processing unit 1408 is further configured to receive (e.g., with the receiving unit 1410) a disambiguation request corresponding to a parameter from the software application, identify (e.g., with the identifying unit 1412) a candidate parameter from a set of candidate parameters associated with the parameter, and provide (e.g., with the providing unit 1414) the selected candidate parameter to the software application.
In some examples, providing the intent object to the software application to cause the software application to perform a task associated with the intent object comprises, after identifying the software application, determining (e.g., with the determining unit 1420) whether a user input requesting cancellation or modification of the task has been received during a period of time; and in accordance with a determination that the user input requesting cancellation or modification of the task has not been received during the period of time, providing (e.g., with the providing unit 1414) the intent object to the software application.
In some examples, in accordance with a determination that the user input requesting cancellation or modification of the task has not been received during the period of time, providing the intent object to the software application comprises providing (e.g., with the providing unit 1414) the intent object to the software application without user confirmation of the intent object.
In some examples, the processing unit 1408 is further configured to receive (e.g., with the receiving unit 1410), from the software application, a request for a parameter associated with the intent object; identify (e.g., with the identifying unit 1412), using the electronic device, a natural-language query based on the request, the natural-language query associated with the software application and the parameter, provide (e.g., with the providing unit 1414) the natural-language query; receive (e.g., with the receiving unit 1410) a fourth user input; identify (e.g., with the identifying unit 1412) the parameter based on the fourth user input; and provide (e.g., with the providing unit 1414) the parameter to the software application.
The operation described above with respect to
It is understood by persons of skill in the art that the functional blocks described in
In accordance with some embodiments,
As shown in
In some examples, the one or more processing units 1508 is configured to receive (e.g., with the receiving unit 1510) an audio input including a natural-language user input; obtain (e.g., with the obtaining unit 1512) a text string from the natural-language user input; determine (e.g., with the determining unit 1514) an intent object of a set of intent objects based on the text string; determine (e.g., with the determining unit 1514) a software application associated with the intent object of the set of intent objects; provide (e.g., with the providing unit 1516) the intent object to the software application to cause the software application to perform a task associated with the intent object; receive (e.g., with the receiving unit 1510), from the software application, a result response indicating whether the task was successfully performed; and provide (e.g., with the providing unit 1516) an output indicating whether the task was performed.
In some examples, determining an intent object of a set of intent objects based on the text string comprises performing (e.g., with the performing unit 1518) natural language processing on the text string to determine an intent of the natural-language user input and identifying (e.g., with the identifying unit 1520) an intent object associated with the intent.
In some examples, providing an output indicating whether the task was performed comprises providing (e.g., with the providing unit 1516) a natural-language output.
In some examples, determining a software application associated with the intent object of the set of intent objects comprises determining (e.g., with the determining unit 1514) a parameter associated with the intent object, and providing the intent object to the software application to cause the software application to perform a task associated with the intent object comprises providing (e.g., with the providing unit 1516) the parameter to the software application.
In some examples, determining an intent object of a set of intent objects comprises determining (e.g., with the determining unit 1514) the intent object of the set of intent objects based on a type of the electronic device.
The operation described above with respect to
It is understood by persons of skill in the art that the functional blocks described in
In accordance with some embodiments,
As shown in
In some examples, the processing unit 1608 is configured to identify (e.g., with the identifying unit 1610) an intent object of a set of intent objects, the intent object derived from a natural-language user input; identify (e.g., with the identifying unit 1610) a software application associated with the intent object of the set of intent objects; receive (e.g., with the receiving unit 1612), from a second electronic device, a task flow associated with the software application; provide (e.g., with the providing unit 1614) the intent object to the software application to cause the software application to perform a task associated with the intent object; receive a request from the software application; determine (e.g., with the determining unit 1616) a query based on the request, wherein the query is determined in accordance with the task flow; provide (e.g., with the providing unit 1614) the query using the touch-sensitive display 1602; after providing the query, receive (e.g., with the receiving unit 1612) a second user input indicative of a query response; and provide (e.g., with the providing unit 1614) the query response to the software application.
In some examples, the processing unit 1608 is further configured to receive (e.g., with the receiving unit 1612), from the software application, a result response indicating whether the task was successfully performed and provide (e.g., with the providing unit 1614) an output indicating whether the task was performed.
In some examples, providing the query response to the software application comprises adjusting (e.g., with the adjusting unit 1618) the intent object and providing the adjusted intent object to the software application.
In some examples, receiving a task flow associated with the software application comprises receiving (e.g., with the receiving unit 1612) the task flow from another electronic device and storing the task flow on the electronic device.
In some examples, determining a query based on the request comprises retrieving (e.g., with the retrieving unit 1620) the query from the task flow stored on the electronic device.
In some examples, the query response is indicative of a parameter associated with the intent object.
The operation described above with respect to
It is understood by persons of skill in the art that the functional blocks described in
In accordance with some embodiments,
As shown in
In some examples, the one or more processing units 1708 are configured to determine (e.g., with the determining unit 1710) intent object of a set of intent objects; identify (e.g., with the identifying unit 1712) a software application associated with the intent object of the set of intent objects; determine (e.g., with the determining unit 1710) a task flow associated with the software application; provide (e.g., with the providing unit 1714) the intent object to the software application to cause the software application to perform a task associated with the intent object; receive (e.g., with the receiving unit 1716) a request from the software application; determine (e.g., with the determining unit 1710) a query based on the request, the query determined in accordance with the task flow; provide (e.g., with the providing unit 1714) the query using the touch-sensitive display; after providing the query, receive (e.g., with the receiving unit 1716) a second user input indicative of a query response; and provide (e.g., with the providing unit 1714) the query response to the software application.
In some examples, the one or more processing units 1708 are further configured to receive (e.g., with the receiving unit 1716) an audio input including a natural-language user input and obtain (e.g., with the obtaining unit 1718) a text string from the natural-language user input, and determining an intent object of a set of intent objects comprises determining (e.g., with the determining unit 1710) an intent object of a set of intent objects based on the text string.
In some examples, the one or more processing units 1708 are further configured to receive (e.g., with the receiving unit 1716), from the software application, a result response indicating whether the task was successfully performed and provide (e.g., with the providing unit 1714) an output indicating whether the task was performed.
In some examples, determining a task flow associated with the software application comprises determining (e.g., with the determining unit 1710) the task flow at a first electronic device, providing (e.g., with the providing unit 1714) the task flow to a second electronic device and storing (e.g., with the storing unit 1720) the task flow on the first electronic device.
In some examples, determining a query based on the request comprises determining (e.g., with the determining unit 1710) the query with the first electronic device.
The operation described above with respect to
It is understood by persons of skill in the art that the functional blocks described in
The foregoing description, for purpose of explanation, has been described with reference to specific embodiments. However, the illustrative discussions above are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Many modifications and variations are possible in view of the above teachings. The embodiments were chosen and described in order to best explain the principles of the techniques and their practical applications. Others skilled in the art are thereby enabled to best utilize the techniques and various embodiments with various modifications as are suited to the particular use contemplated.
Although the disclosure and examples have been fully described with reference to the accompanying drawings, it is to be noted that various changes and modifications will become apparent to those skilled in the art. Such changes and modifications are to be understood as being included within the scope of the disclosure and examples as defined by the claims.
This application claims priority to U.S. Provisional Patent Application Ser. No. 62/444,162, “APPLICATION INTEGRATION WITH A DIGITAL ASSISTANT,” filed on Jan. 9, 2017. The content of this application is hereby incorporated by reference for all purposes.
| Number | Name | Date | Kind |
|---|---|---|---|
| 5657462 | Brouwer | Aug 1997 | A |
| 5682469 | Linnett | Oct 1997 | A |
| 5946647 | Miller et al. | Aug 1999 | A |
| 7110998 | Bhandari et al. | Sep 2006 | B1 |
| 7315809 | Xun | Jan 2008 | B2 |
| 7315818 | Stevens et al. | Jan 2008 | B2 |
| 7318020 | Kim | Jan 2008 | B1 |
| 7319957 | Robinson et al. | Jan 2008 | B2 |
| 7321783 | Kim | Jan 2008 | B2 |
| 7322023 | Shulman et al. | Jan 2008 | B2 |
| 7324833 | White et al. | Jan 2008 | B2 |
| 7324947 | Jordan et al. | Jan 2008 | B2 |
| 7328155 | Endo et al. | Feb 2008 | B2 |
| 7328250 | Wang et al. | Feb 2008 | B2 |
| 7333998 | Heckerman et al. | Feb 2008 | B2 |
| 7337108 | Florencio et al. | Feb 2008 | B2 |
| 7345670 | Armstrong | Mar 2008 | B2 |
| 7345671 | Robbin et al. | Mar 2008 | B2 |
| 7349953 | Lisitsa et al. | Mar 2008 | B2 |
| 7353139 | Burrell et al. | Apr 2008 | B1 |
| 7356748 | Taleb | Apr 2008 | B2 |
| 7359493 | Wang et al. | Apr 2008 | B1 |
| 7359671 | Richenstein et al. | Apr 2008 | B2 |
| 7359851 | Tong et al. | Apr 2008 | B2 |
| 7360158 | Beeman | Apr 2008 | B1 |
| 7362738 | Taube et al. | Apr 2008 | B2 |
| 7363227 | Mapes-Riordan et al. | Apr 2008 | B2 |
| 7363586 | Briggs et al. | Apr 2008 | B1 |
| 7365260 | Kawashima | Apr 2008 | B2 |
| 7366461 | Brown | Apr 2008 | B1 |
| 7369984 | Fairweather | May 2008 | B2 |
| 7373291 | Garst | May 2008 | B2 |
| 7373612 | Risch et al. | May 2008 | B2 |
| 7376556 | Bennett | May 2008 | B2 |
| 7376632 | Sadek et al. | May 2008 | B1 |
| 7376645 | Bernard | May 2008 | B2 |
| 7378963 | Begault et al. | May 2008 | B1 |
| 7379874 | Schmid et al. | May 2008 | B2 |
| 7380203 | Keely et al. | May 2008 | B2 |
| 7383170 | Mills et al. | Jun 2008 | B2 |
| 7386110 | Petrunka et al. | Jun 2008 | B2 |
| 7386438 | Franz et al. | Jun 2008 | B1 |
| 7386449 | Sun et al. | Jun 2008 | B2 |
| 7386799 | Clanton et al. | Jun 2008 | B1 |
| 7389224 | Elworthy | Jun 2008 | B1 |
| 7389225 | Jensen et al. | Jun 2008 | B1 |
| 7392185 | Bennett | Jun 2008 | B2 |
| 7394947 | Li et al. | Jul 2008 | B2 |
| 7398209 | Kennewick et al. | Jul 2008 | B2 |
| 7401300 | Nurmi | Jul 2008 | B2 |
| 7403938 | Harrison et al. | Jul 2008 | B2 |
| 7403941 | Bedworth et al. | Jul 2008 | B2 |
| 7404143 | Freelander et al. | Jul 2008 | B2 |
| 7409337 | Potter et al. | Aug 2008 | B1 |
| 7409347 | Bellegarda | Aug 2008 | B1 |
| 7412389 | Yang | Aug 2008 | B2 |
| 7412470 | Masuno et al. | Aug 2008 | B2 |
| 7415100 | Cooper et al. | Aug 2008 | B2 |
| 7415469 | Singh et al. | Aug 2008 | B2 |
| 7418382 | Maes | Aug 2008 | B1 |
| 7418389 | Chu et al. | Aug 2008 | B2 |
| 7418392 | Mozer et al. | Aug 2008 | B1 |
| 7426467 | Nashida et al. | Sep 2008 | B2 |
| 7426468 | Coifman et al. | Sep 2008 | B2 |
| 7427024 | Gazdzinski et al. | Sep 2008 | B1 |
| 7428541 | Houle | Sep 2008 | B2 |
| 7430508 | Williamson et al. | Sep 2008 | B2 |
| 7433869 | Gollapudi | Oct 2008 | B2 |
| 7433921 | Ludwig et al. | Oct 2008 | B2 |
| 7436947 | Wadler et al. | Oct 2008 | B2 |
| 7441184 | Frerebeau et al. | Oct 2008 | B2 |
| 7443316 | Lim | Oct 2008 | B2 |
| 7444589 | Zellner | Oct 2008 | B2 |
| 7447360 | Li et al. | Nov 2008 | B2 |
| 7447624 | Fuhrmann et al. | Nov 2008 | B2 |
| 7447635 | Konopka et al. | Nov 2008 | B1 |
| 7447637 | Grant et al. | Nov 2008 | B1 |
| 7451081 | Gajic et al. | Nov 2008 | B1 |
| 7454351 | Jeschke et al. | Nov 2008 | B2 |
| 7460652 | Chang | Dec 2008 | B2 |
| 7461043 | Hess | Dec 2008 | B2 |
| 7467087 | Gillick et al. | Dec 2008 | B1 |
| 7467164 | Marsh | Dec 2008 | B2 |
| 7472061 | Alewine et al. | Dec 2008 | B1 |
| 7472065 | Aaron et al. | Dec 2008 | B2 |
| 7475010 | Chao | Jan 2009 | B2 |
| 7475015 | Epstein et al. | Jan 2009 | B2 |
| 7475063 | Datta et al. | Jan 2009 | B2 |
| 7477238 | Fux et al. | Jan 2009 | B2 |
| 7477240 | Yanagisawa | Jan 2009 | B2 |
| 7478037 | Strong | Jan 2009 | B2 |
| 7478091 | Mojsilovic et al. | Jan 2009 | B2 |
| 7478129 | Chemtob | Jan 2009 | B1 |
| 7479948 | Kim et al. | Jan 2009 | B2 |
| 7479949 | Jobs et al. | Jan 2009 | B2 |
| 7483832 | Tischer | Jan 2009 | B2 |
| 7483894 | Cao | Jan 2009 | B2 |
| 7487089 | Mozer | Feb 2009 | B2 |
| 7487093 | Mutsuno et al. | Feb 2009 | B2 |
| 7490034 | Finnigan et al. | Feb 2009 | B2 |
| 7490039 | Shaffer et al. | Feb 2009 | B1 |
| 7493251 | Gao et al. | Feb 2009 | B2 |
| 7493560 | Kipnes et al. | Feb 2009 | B1 |
| 7496498 | Chu et al. | Feb 2009 | B2 |
| 7496512 | Zhao et al. | Feb 2009 | B2 |
| 7499923 | Kawatani | Mar 2009 | B2 |
| 7502738 | Kennewick et al. | Mar 2009 | B2 |
| 7505795 | Lim et al. | Mar 2009 | B1 |
| 7508324 | Suraqui | Mar 2009 | B2 |
| 7508373 | Lin et al. | Mar 2009 | B2 |
| 7516123 | Betz et al. | Apr 2009 | B2 |
| 7519327 | White | Apr 2009 | B2 |
| 7519398 | Hirose | Apr 2009 | B2 |
| 7522927 | Fitch et al. | Apr 2009 | B2 |
| 7523036 | Akabane et al. | Apr 2009 | B2 |
| 7523108 | Cao | Apr 2009 | B2 |
| 7526466 | Au | Apr 2009 | B2 |
| 7526738 | Ording et al. | Apr 2009 | B2 |
| 7528713 | Singh et al. | May 2009 | B2 |
| 7529671 | Rockenbeck et al. | May 2009 | B2 |
| 7529676 | Koyama | May 2009 | B2 |
| 7535997 | McQuaide, Jr. et al. | May 2009 | B1 |
| 7536029 | Choi et al. | May 2009 | B2 |
| 7536565 | Girish et al. | May 2009 | B2 |
| 7538685 | Cooper et al. | May 2009 | B1 |
| 7539619 | Seligman et al. | May 2009 | B1 |
| 7539656 | Fratkina et al. | May 2009 | B2 |
| 7541940 | Upton | Jun 2009 | B2 |
| 7542967 | Hurst-Hiller et al. | Jun 2009 | B2 |
| 7542971 | Thione et al. | Jun 2009 | B2 |
| 7543232 | Easton, Jr. et al. | Jun 2009 | B2 |
| 7546382 | Healey et al. | Jun 2009 | B2 |
| 7546529 | Reynar et al. | Jun 2009 | B2 |
| 7548895 | Pulsipher | Jun 2009 | B2 |
| 7552045 | Barliga et al. | Jun 2009 | B2 |
| 7552055 | Lecoeuche | Jun 2009 | B2 |
| 7555431 | Bennett | Jun 2009 | B2 |
| 7555496 | Lantrip et al. | Jun 2009 | B1 |
| 7558381 | Ali et al. | Jul 2009 | B1 |
| 7558730 | Davis et al. | Jul 2009 | B2 |
| 7559026 | Girish et al. | Jul 2009 | B2 |
| 7561069 | Horstemeyer | Jul 2009 | B2 |
| 7562007 | Hwang | Jul 2009 | B2 |
| 7562032 | Abbosh et al. | Jul 2009 | B2 |
| 7565104 | Brown et al. | Jul 2009 | B1 |
| 7565380 | Venkatachary | Jul 2009 | B1 |
| 7568151 | Bargeron et al. | Jul 2009 | B2 |
| 7571092 | Nieh | Aug 2009 | B1 |
| 7571106 | Cao et al. | Aug 2009 | B2 |
| 7577522 | Rosenberg | Aug 2009 | B2 |
| 7580551 | Srihari et al. | Aug 2009 | B1 |
| 7580576 | Wang et al. | Aug 2009 | B2 |
| 7580839 | Tamura et al. | Aug 2009 | B2 |
| 7584093 | Potter et al. | Sep 2009 | B2 |
| 7584278 | Rajarajan et al. | Sep 2009 | B2 |
| 7584429 | Fabritius | Sep 2009 | B2 |
| 7593868 | Margiloff et al. | Sep 2009 | B2 |
| 7596269 | King et al. | Sep 2009 | B2 |
| 7596499 | Anguera et al. | Sep 2009 | B2 |
| 7596606 | Codignotto | Sep 2009 | B2 |
| 7596765 | Almas | Sep 2009 | B2 |
| 7599918 | Shen et al. | Oct 2009 | B2 |
| 7603349 | Kraft et al. | Oct 2009 | B1 |
| 7603381 | Burke et al. | Oct 2009 | B2 |
| 7606444 | Erol et al. | Oct 2009 | B1 |
| 7609179 | Diaz-Gutierrez et al. | Oct 2009 | B2 |
| 7610258 | Yuknewicz et al. | Oct 2009 | B2 |
| 7613264 | Wells et al. | Nov 2009 | B2 |
| 7614008 | Ording | Nov 2009 | B2 |
| 7617094 | Aoki et al. | Nov 2009 | B2 |
| 7620407 | Donald et al. | Nov 2009 | B1 |
| 7620549 | Di Cristo et al. | Nov 2009 | B2 |
| 7620894 | Kahn | Nov 2009 | B1 |
| 7623119 | Autio et al. | Nov 2009 | B2 |
| 7624007 | Bennett | Nov 2009 | B2 |
| 7627481 | Kuo et al. | Dec 2009 | B1 |
| 7630900 | Strom | Dec 2009 | B1 |
| 7630901 | Omi | Dec 2009 | B2 |
| 7633076 | Huppi et al. | Dec 2009 | B2 |
| 7634409 | Kennewick et al. | Dec 2009 | B2 |
| 7634413 | Kuo et al. | Dec 2009 | B1 |
| 7634718 | Nakajima | Dec 2009 | B2 |
| 7634732 | Blagsvedt et al. | Dec 2009 | B1 |
| 7636657 | Ju et al. | Dec 2009 | B2 |
| 7640158 | Detlef et al. | Dec 2009 | B2 |
| 7640160 | Di Cristo et al. | Dec 2009 | B2 |
| 7643990 | Bellegarda | Jan 2010 | B1 |
| 7647225 | Bennett et al. | Jan 2010 | B2 |
| 7649454 | Singh et al. | Jan 2010 | B2 |
| 7649877 | Vieri et al. | Jan 2010 | B2 |
| 7653883 | Hotelling et al. | Jan 2010 | B2 |
| 7656393 | King et al. | Feb 2010 | B2 |
| 7657424 | Bennett | Feb 2010 | B2 |
| 7657828 | Lucas et al. | Feb 2010 | B2 |
| 7657844 | Gibson et al. | Feb 2010 | B2 |
| 7657849 | Chaudhri et al. | Feb 2010 | B2 |
| 7660715 | Thambiratnam | Feb 2010 | B1 |
| 7663607 | Hotelling et al. | Feb 2010 | B2 |
| 7664558 | Lindahl et al. | Feb 2010 | B2 |
| 7664638 | Cooper et al. | Feb 2010 | B2 |
| 7668710 | Doyle | Feb 2010 | B2 |
| 7669134 | Christie et al. | Feb 2010 | B1 |
| 7672841 | Bennett | Mar 2010 | B2 |
| 7672952 | Isaacson et al. | Mar 2010 | B2 |
| 7673238 | Girish et al. | Mar 2010 | B2 |
| 7673251 | Wibisono | Mar 2010 | B1 |
| 7673340 | Cohen et al. | Mar 2010 | B1 |
| 7676026 | Baxter, Jr. | Mar 2010 | B1 |
| 7676365 | Hwang et al. | Mar 2010 | B2 |
| 7676463 | Thompson et al. | Mar 2010 | B2 |
| 7679534 | Kay et al. | Mar 2010 | B2 |
| 7680649 | Park | Mar 2010 | B2 |
| 7681126 | Roose | Mar 2010 | B2 |
| 7683886 | Willey | Mar 2010 | B2 |
| 7683893 | Kim | Mar 2010 | B2 |
| 7684985 | Dominach et al. | Mar 2010 | B2 |
| 7684990 | Caskey et al. | Mar 2010 | B2 |
| 7684991 | Stohr et al. | Mar 2010 | B2 |
| 7689245 | Cox et al. | Mar 2010 | B2 |
| 7689408 | Chen et al. | Mar 2010 | B2 |
| 7689409 | Heinecke | Mar 2010 | B2 |
| 7689412 | Wu et al. | Mar 2010 | B2 |
| 7689421 | Li et al. | Mar 2010 | B2 |
| 7693715 | Hwang et al. | Apr 2010 | B2 |
| 7693717 | Kahn et al. | Apr 2010 | B2 |
| 7693719 | Chu et al. | Apr 2010 | B2 |
| 7693720 | Kennewick et al. | Apr 2010 | B2 |
| 7698131 | Bennett | Apr 2010 | B2 |
| 7702500 | Blaedow | Apr 2010 | B2 |
| 7702508 | Bennett | Apr 2010 | B2 |
| 7703091 | Martin et al. | Apr 2010 | B1 |
| 7706510 | Ng | Apr 2010 | B2 |
| 7707026 | Liu | Apr 2010 | B2 |
| 7707027 | Balchandran et al. | Apr 2010 | B2 |
| 7707032 | Wang et al. | Apr 2010 | B2 |
| 7707221 | Dunning et al. | Apr 2010 | B1 |
| 7707226 | Tonse | Apr 2010 | B1 |
| 7707267 | Lisitsa et al. | Apr 2010 | B2 |
| 7710262 | Ruha | May 2010 | B2 |
| 7711129 | Lindahl et al. | May 2010 | B2 |
| 7711550 | Feinberg et al. | May 2010 | B1 |
| 7711565 | Gazdzinski | May 2010 | B1 |
| 7711672 | Au | May 2010 | B2 |
| 7712053 | Bradford et al. | May 2010 | B2 |
| 7716056 | Weng et al. | May 2010 | B2 |
| 7716216 | Harik et al. | May 2010 | B1 |
| 7720674 | Kaiser et al. | May 2010 | B2 |
| 7720683 | Vermeulen et al. | May 2010 | B1 |
| 7721226 | Barabe et al. | May 2010 | B2 |
| 7721301 | Wong et al. | May 2010 | B2 |
| 7724242 | Hillis et al. | May 2010 | B2 |
| 7724696 | Parekh | May 2010 | B1 |
| 7725307 | Bennett | May 2010 | B2 |
| 7725318 | Gavalda et al. | May 2010 | B2 |
| 7725320 | Bennett | May 2010 | B2 |
| 7725321 | Bennett | May 2010 | B2 |
| 7725419 | Lee | May 2010 | B2 |
| 7725838 | Williams | May 2010 | B2 |
| 7729904 | Bennett | Jun 2010 | B2 |
| 7729916 | Coffman et al. | Jun 2010 | B2 |
| 7734461 | Kwak et al. | Jun 2010 | B2 |
| 7735012 | Naik | Jun 2010 | B2 |
| 7739588 | Reynar et al. | Jun 2010 | B2 |
| 7742953 | King et al. | Jun 2010 | B2 |
| 7743188 | Haitani et al. | Jun 2010 | B2 |
| 7747616 | Yamada et al. | Jun 2010 | B2 |
| 7752152 | Paek et al. | Jul 2010 | B2 |
| 7756708 | Cohen et al. | Jul 2010 | B2 |
| 7756868 | Lee | Jul 2010 | B2 |
| 7756871 | Yacoub et al. | Jul 2010 | B2 |
| 7757173 | Beaman | Jul 2010 | B2 |
| 7757182 | Elliott et al. | Jul 2010 | B2 |
| 7761296 | Bakis et al. | Jul 2010 | B1 |
| 7763842 | Hsu et al. | Jul 2010 | B2 |
| 7774202 | Spengler et al. | Aug 2010 | B2 |
| 7774204 | Mozer et al. | Aug 2010 | B2 |
| 7774388 | Runchey | Aug 2010 | B1 |
| 7777717 | Fux et al. | Aug 2010 | B2 |
| 7778432 | Larsen | Aug 2010 | B2 |
| 7778595 | White et al. | Aug 2010 | B2 |
| 7778632 | Kurlander et al. | Aug 2010 | B2 |
| 7778830 | Davis et al. | Aug 2010 | B2 |
| 7779353 | Grigoriu et al. | Aug 2010 | B2 |
| 7779356 | Griesmer | Aug 2010 | B2 |
| 7779357 | Naik | Aug 2010 | B2 |
| 7783283 | Kuusinen et al. | Aug 2010 | B2 |
| 7783486 | Rosser et al. | Aug 2010 | B2 |
| 7788590 | Taboada et al. | Aug 2010 | B2 |
| 7788663 | Illowsky et al. | Aug 2010 | B2 |
| 7796980 | McKinney et al. | Sep 2010 | B1 |
| 7797265 | Brinker et al. | Sep 2010 | B2 |
| 7797269 | Rieman et al. | Sep 2010 | B2 |
| 7797331 | Theimer et al. | Sep 2010 | B2 |
| 7797338 | Feng | Sep 2010 | B2 |
| 7797629 | Fux et al. | Sep 2010 | B2 |
| 7801721 | Rosart et al. | Sep 2010 | B2 |
| 7801728 | Ben-David et al. | Sep 2010 | B2 |
| 7801729 | Mozer | Sep 2010 | B2 |
| 7805299 | Coifman | Sep 2010 | B2 |
| 7809550 | Barrows | Oct 2010 | B1 |
| 7809565 | Coifman | Oct 2010 | B2 |
| 7809569 | Attwater et al. | Oct 2010 | B2 |
| 7809570 | Kennewick et al. | Oct 2010 | B2 |
| 7809610 | Cao | Oct 2010 | B2 |
| 7809744 | Nevidomski et al. | Oct 2010 | B2 |
| 7818165 | Carlgren et al. | Oct 2010 | B2 |
| 7818176 | Freeman et al. | Oct 2010 | B2 |
| 7818215 | King et al. | Oct 2010 | B2 |
| 7818291 | Ferguson et al. | Oct 2010 | B2 |
| 7818672 | McCormack et al. | Oct 2010 | B2 |
| 7822608 | Cross, Jr. et al. | Oct 2010 | B2 |
| 7823123 | Sabbouh | Oct 2010 | B2 |
| 7826945 | Zhang et al. | Nov 2010 | B2 |
| 7827047 | Anderson et al. | Nov 2010 | B2 |
| 7831423 | Schubert | Nov 2010 | B2 |
| 7831426 | Bennett | Nov 2010 | B2 |
| 7831432 | Bodin et al. | Nov 2010 | B2 |
| 7835504 | Donald et al. | Nov 2010 | B1 |
| 7836437 | Kacmarcik et al. | Nov 2010 | B2 |
| 7840348 | Kim et al. | Nov 2010 | B2 |
| 7840400 | Lavi et al. | Nov 2010 | B2 |
| 7840447 | Kleinrock et al. | Nov 2010 | B2 |
| 7840581 | Ross et al. | Nov 2010 | B2 |
| 7840912 | Elias et al. | Nov 2010 | B2 |
| 7844394 | Kim | Nov 2010 | B2 |
| 7848924 | Nurminen et al. | Dec 2010 | B2 |
| 7848926 | Goto et al. | Dec 2010 | B2 |
| 7853444 | Wang et al. | Dec 2010 | B2 |
| 7853445 | Bachenko et al. | Dec 2010 | B2 |
| 7853574 | Kraenzel et al. | Dec 2010 | B2 |
| 7853577 | Sundaresan et al. | Dec 2010 | B2 |
| 7853664 | Wang et al. | Dec 2010 | B1 |
| 7853900 | Nguyen et al. | Dec 2010 | B2 |
| 7865817 | Ryan et al. | Jan 2011 | B2 |
| 7869999 | Amato et al. | Jan 2011 | B2 |
| 7870118 | Jiang et al. | Jan 2011 | B2 |
| 7870133 | Krishnamoorthy et al. | Jan 2011 | B2 |
| 7873149 | Schultz et al. | Jan 2011 | B2 |
| 7873519 | Bennett | Jan 2011 | B2 |
| 7873654 | Bernard | Jan 2011 | B2 |
| 7877705 | Chambers et al. | Jan 2011 | B2 |
| 7880730 | Robinson et al. | Feb 2011 | B2 |
| 7881283 | Cormier et al. | Feb 2011 | B2 |
| 7881936 | Longe et al. | Feb 2011 | B2 |
| 7885390 | Chaudhuri et al. | Feb 2011 | B2 |
| 7885844 | Cohen et al. | Feb 2011 | B1 |
| 7886233 | Rainisto et al. | Feb 2011 | B2 |
| 7889101 | Yokota | Feb 2011 | B2 |
| 7889184 | Blumenberg et al. | Feb 2011 | B2 |
| 7889185 | Blumenberg et al. | Feb 2011 | B2 |
| 7890330 | Ozkaragoz et al. | Feb 2011 | B2 |
| 7890652 | Bull et al. | Feb 2011 | B2 |
| 7895039 | Braho et al. | Feb 2011 | B2 |
| 7895531 | Radtke et al. | Feb 2011 | B2 |
| 7899666 | Varone | Mar 2011 | B2 |
| 7904297 | Mirkovic et al. | Mar 2011 | B2 |
| 7908287 | Katragadda | Mar 2011 | B1 |
| 7912289 | Kansal et al. | Mar 2011 | B2 |
| 7912699 | Saraclar et al. | Mar 2011 | B1 |
| 7912702 | Bennett | Mar 2011 | B2 |
| 7912720 | Hakkani-Tur et al. | Mar 2011 | B1 |
| 7912828 | Bonnet et al. | Mar 2011 | B2 |
| 7913185 | Benson et al. | Mar 2011 | B1 |
| 7916979 | Simmons | Mar 2011 | B2 |
| 7917367 | Di Cristo et al. | Mar 2011 | B2 |
| 7917497 | Harrison et al. | Mar 2011 | B2 |
| 7920678 | Cooper et al. | Apr 2011 | B2 |
| 7920682 | Byrne et al. | Apr 2011 | B2 |
| 7920857 | Lau et al. | Apr 2011 | B2 |
| 7925525 | Chin | Apr 2011 | B2 |
| 7925610 | Elbaz et al. | Apr 2011 | B2 |
| 7929805 | Wang et al. | Apr 2011 | B2 |
| 7930168 | Weng et al. | Apr 2011 | B2 |
| 7930183 | Odell et al. | Apr 2011 | B2 |
| 7930197 | Ozzie et al. | Apr 2011 | B2 |
| 7933399 | Knott | Apr 2011 | B2 |
| 7936339 | Marggraff et al. | May 2011 | B2 |
| 7936861 | Martin et al. | May 2011 | B2 |
| 7936863 | John et al. | May 2011 | B2 |
| 7937075 | Zellner | May 2011 | B2 |
| 7941009 | Li et al. | May 2011 | B2 |
| 7945294 | Zhang et al. | May 2011 | B2 |
| 7945470 | Cohen et al. | May 2011 | B1 |
| 7949529 | Weider et al. | May 2011 | B2 |
| 7949534 | Davis et al. | May 2011 | B2 |
| 7949752 | Lange et al. | May 2011 | B2 |
| 7953679 | Chidlovskii et al. | May 2011 | B2 |
| 7957975 | Burns et al. | Jun 2011 | B2 |
| 7958136 | Curtis et al. | Jun 2011 | B1 |
| 7962179 | Huang | Jun 2011 | B2 |
| 7974835 | Balchandran et al. | Jul 2011 | B2 |
| 7974844 | Sumita | Jul 2011 | B2 |
| 7974972 | Cao | Jul 2011 | B2 |
| 7975216 | Woolf et al. | Jul 2011 | B2 |
| 7983478 | Liu et al. | Jul 2011 | B2 |
| 7983915 | Knight et al. | Jul 2011 | B2 |
| 7983917 | Kennewick et al. | Jul 2011 | B2 |
| 7983919 | Conkie | Jul 2011 | B2 |
| 7983997 | Allen et al. | Jul 2011 | B2 |
| 7984062 | Dunning et al. | Jul 2011 | B2 |
| 7986431 | Emori et al. | Jul 2011 | B2 |
| 7987151 | Schott et al. | Jul 2011 | B2 |
| 7987244 | Lewis et al. | Jul 2011 | B1 |
| 7991614 | Washio et al. | Aug 2011 | B2 |
| 7992085 | Wang-Aryattanwanich et al. | Aug 2011 | B2 |
| 7996228 | Miller et al. | Aug 2011 | B2 |
| 7996589 | Schultz et al. | Aug 2011 | B2 |
| 7996769 | Fux et al. | Aug 2011 | B2 |
| 7996792 | Anzures et al. | Aug 2011 | B2 |
| 7999669 | Singh et al. | Aug 2011 | B2 |
| 8000453 | Cooper et al. | Aug 2011 | B2 |
| 8005664 | Hanumanthappa | Aug 2011 | B2 |
| 8005679 | Jordan et al. | Aug 2011 | B2 |
| 8006180 | Tunning et al. | Aug 2011 | B2 |
| 8014308 | Gates et al. | Sep 2011 | B2 |
| 8015006 | Kennewick et al. | Sep 2011 | B2 |
| 8015011 | Nagano et al. | Sep 2011 | B2 |
| 8015144 | Zheng et al. | Sep 2011 | B2 |
| 8018431 | Zehr et al. | Sep 2011 | B1 |
| 8019271 | Izdepski | Sep 2011 | B1 |
| 8020104 | Robarts et al. | Sep 2011 | B2 |
| 8024195 | Mozer et al. | Sep 2011 | B2 |
| 8024415 | Horvitz et al. | Sep 2011 | B2 |
| 8027836 | Baker et al. | Sep 2011 | B2 |
| 8031943 | Chen et al. | Oct 2011 | B2 |
| 8032383 | Bhardwaj et al. | Oct 2011 | B1 |
| 8036901 | Mozer | Oct 2011 | B2 |
| 8037034 | Plachta et al. | Oct 2011 | B2 |
| 8041557 | Liu | Oct 2011 | B2 |
| 8041570 | Mirkovic et al. | Oct 2011 | B2 |
| 8041611 | Kleinrock et al. | Oct 2011 | B2 |
| 8042053 | Darwish et al. | Oct 2011 | B2 |
| 8046363 | Cha et al. | Oct 2011 | B2 |
| 8046374 | Bromwich et al. | Oct 2011 | B1 |
| 8050500 | Batty et al. | Nov 2011 | B1 |
| 8054180 | Scofield et al. | Nov 2011 | B1 |
| 8055502 | Clark et al. | Nov 2011 | B2 |
| 8055708 | Chitsaz et al. | Nov 2011 | B2 |
| 8056070 | Goller et al. | Nov 2011 | B2 |
| 8060824 | Brownrigg, Jr. et al. | Nov 2011 | B2 |
| 8064753 | Freeman | Nov 2011 | B2 |
| 8065143 | Yanagihara | Nov 2011 | B2 |
| 8065155 | Gazdzinski | Nov 2011 | B1 |
| 8065156 | Gazdzinski | Nov 2011 | B2 |
| 8068604 | Leeds et al. | Nov 2011 | B2 |
| 8069046 | Kennewick et al. | Nov 2011 | B2 |
| 8069422 | Sheshagiri et al. | Nov 2011 | B2 |
| 8073681 | Baldwin et al. | Dec 2011 | B2 |
| 8073695 | Hendricks et al. | Dec 2011 | B1 |
| 8077153 | Benko et al. | Dec 2011 | B2 |
| 8078473 | Gazdzinski | Dec 2011 | B1 |
| 8082153 | Coffman et al. | Dec 2011 | B2 |
| 8082498 | Salamon et al. | Dec 2011 | B2 |
| 8090571 | Elshishiny et al. | Jan 2012 | B2 |
| 8095364 | Longe et al. | Jan 2012 | B2 |
| 8099289 | Mozer et al. | Jan 2012 | B2 |
| 8099395 | Pabla et al. | Jan 2012 | B2 |
| 8099418 | Inoue et al. | Jan 2012 | B2 |
| 8103510 | Sato | Jan 2012 | B2 |
| 8107401 | John et al. | Jan 2012 | B2 |
| 8112275 | Kennewick et al. | Feb 2012 | B2 |
| 8112280 | Lu | Feb 2012 | B2 |
| 8117037 | Gazdzinski | Feb 2012 | B2 |
| 8117542 | Radtke et al. | Feb 2012 | B2 |
| 8121413 | Hwang et al. | Feb 2012 | B2 |
| 8121837 | Agapi et al. | Feb 2012 | B2 |
| 8122094 | Kotab | Feb 2012 | B1 |
| 8122353 | Bouta | Feb 2012 | B2 |
| 8130929 | Wilkes et al. | Mar 2012 | B2 |
| 8131557 | Davis et al. | Mar 2012 | B2 |
| 8135115 | Hogg, Jr. et al. | Mar 2012 | B1 |
| 8138912 | Singh et al. | Mar 2012 | B2 |
| 8140335 | Kennewick et al. | Mar 2012 | B2 |
| 8140567 | Padovitz et al. | Mar 2012 | B2 |
| 8145489 | Freeman et al. | Mar 2012 | B2 |
| 8150694 | Kennewick et al. | Apr 2012 | B2 |
| 8150700 | Shin et al. | Apr 2012 | B2 |
| 8155956 | Cho et al. | Apr 2012 | B2 |
| 8156005 | Vieri | Apr 2012 | B2 |
| 8160877 | Nucci et al. | Apr 2012 | B1 |
| 8160883 | Lecoeuche | Apr 2012 | B2 |
| 8165321 | Paquier et al. | Apr 2012 | B2 |
| 8165886 | Gagnon et al. | Apr 2012 | B1 |
| 8166019 | Lee et al. | Apr 2012 | B1 |
| 8166032 | Sommer et al. | Apr 2012 | B2 |
| 8170790 | Lee et al. | May 2012 | B2 |
| 8175872 | Kristjansson et al. | May 2012 | B2 |
| 8179370 | Yamasani et al. | May 2012 | B1 |
| 8188856 | Singh et al. | May 2012 | B2 |
| 8190359 | Bourne | May 2012 | B2 |
| 8195467 | Mozer et al. | Jun 2012 | B2 |
| 8195468 | Kennewick et al. | Jun 2012 | B2 |
| 8200495 | Braho et al. | Jun 2012 | B2 |
| 8201109 | Van Os et al. | Jun 2012 | B2 |
| 8204238 | Mozer | Jun 2012 | B2 |
| 8205788 | Gazdzinski et al. | Jun 2012 | B1 |
| 8209183 | Patel et al. | Jun 2012 | B1 |
| 8213911 | Williams et al. | Jul 2012 | B2 |
| 8219115 | Nelissen | Jul 2012 | B1 |
| 8219406 | Yu et al. | Jul 2012 | B2 |
| 8219407 | Roy et al. | Jul 2012 | B1 |
| 8219608 | alSafadi et al. | Jul 2012 | B2 |
| 8224649 | Chaudhari et al. | Jul 2012 | B2 |
| 8228299 | Maloney et al. | Jul 2012 | B1 |
| 8233919 | Haag et al. | Jul 2012 | B2 |
| 8234111 | Lloyd et al. | Jul 2012 | B2 |
| 8239206 | LeBeau et al. | Aug 2012 | B1 |
| 8239207 | Seligman et al. | Aug 2012 | B2 |
| 8244712 | Serlet et al. | Aug 2012 | B2 |
| 8250071 | Killalea et al. | Aug 2012 | B1 |
| 8254829 | Kindred et al. | Aug 2012 | B1 |
| 8255216 | White | Aug 2012 | B2 |
| 8255217 | Stent et al. | Aug 2012 | B2 |
| 8260247 | Lazaridis et al. | Sep 2012 | B2 |
| 8260617 | Dhanakshirur et al. | Sep 2012 | B2 |
| 8270933 | Riemer et al. | Sep 2012 | B2 |
| 8271287 | Kermani | Sep 2012 | B1 |
| 8275621 | Alewine et al. | Sep 2012 | B2 |
| 8279171 | Hirai et al. | Oct 2012 | B2 |
| 8280438 | Barbera | Oct 2012 | B2 |
| 8285546 | Reich | Oct 2012 | B2 |
| 8285551 | Gazdzinski | Oct 2012 | B2 |
| 8285553 | Gazdzinski | Oct 2012 | B2 |
| 8290777 | Nguyen et al. | Oct 2012 | B1 |
| 8290778 | Gazdzinski | Oct 2012 | B2 |
| 8290781 | Gazdzinski | Oct 2012 | B2 |
| 8296124 | Holsztynska et al. | Oct 2012 | B1 |
| 8296145 | Clark et al. | Oct 2012 | B2 |
| 8296146 | Gazdzinski | Oct 2012 | B2 |
| 8296153 | Gazdzinski | Oct 2012 | B2 |
| 8296380 | Kelly et al. | Oct 2012 | B1 |
| 8296383 | Lindahl | Oct 2012 | B2 |
| 8300801 | Sweeney et al. | Oct 2012 | B2 |
| 8301456 | Gazdzinski | Oct 2012 | B2 |
| 8311189 | Champlin et al. | Nov 2012 | B2 |
| 8311834 | Gazdzinski | Nov 2012 | B1 |
| 8311835 | Lecoeuche | Nov 2012 | B2 |
| 8311838 | Lindahl et al. | Nov 2012 | B2 |
| 8312017 | Martin et al. | Nov 2012 | B2 |
| 8321786 | Lunati et al. | Nov 2012 | B2 |
| 8326627 | Kennewick et al. | Dec 2012 | B2 |
| 8332205 | Krishnan et al. | Dec 2012 | B2 |
| 8332218 | Cross et al. | Dec 2012 | B2 |
| 8332224 | Di Cristo et al. | Dec 2012 | B2 |
| 8332748 | Karam | Dec 2012 | B1 |
| 8340975 | Rosenberger | Dec 2012 | B1 |
| 8345665 | Vieri et al. | Jan 2013 | B2 |
| 8352183 | Thota et al. | Jan 2013 | B2 |
| 8352268 | Naik et al. | Jan 2013 | B2 |
| 8352272 | Rogers et al. | Jan 2013 | B2 |
| 8355919 | Silverman et al. | Jan 2013 | B2 |
| 8359234 | Vieri | Jan 2013 | B2 |
| 8370145 | Endo et al. | Feb 2013 | B2 |
| 8370158 | Gazdzinski | Feb 2013 | B2 |
| 8371503 | Gazdzinski | Feb 2013 | B2 |
| 8374871 | Ehsani et al. | Feb 2013 | B2 |
| 8375320 | Kotler et al. | Feb 2013 | B2 |
| 8380504 | Peden et al. | Feb 2013 | B1 |
| 8380507 | Herman et al. | Feb 2013 | B2 |
| 8381107 | Rottler et al. | Feb 2013 | B2 |
| 8381135 | Hotelling et al. | Feb 2013 | B2 |
| 8386485 | Kerschberg et al. | Feb 2013 | B2 |
| 8386926 | Matsuoka | Feb 2013 | B1 |
| 8391844 | Lamiraux et al. | Mar 2013 | B2 |
| 8396714 | Rogers et al. | Mar 2013 | B2 |
| 8401163 | Kirchhoff et al. | Mar 2013 | B1 |
| 8406745 | Upadhyay et al. | Mar 2013 | B1 |
| 8423288 | Stahl et al. | Apr 2013 | B2 |
| 8428758 | Naik et al. | Apr 2013 | B2 |
| 8433778 | Shreesha et al. | Apr 2013 | B1 |
| 8442821 | Vanhoucke | May 2013 | B1 |
| 8447612 | Gazdzinski | May 2013 | B2 |
| 8452597 | Bringert et al. | May 2013 | B2 |
| 8457959 | Kaiser | Jun 2013 | B2 |
| 8458115 | Cai et al. | Jun 2013 | B2 |
| 8458278 | Christie et al. | Jun 2013 | B2 |
| 8464150 | Davidson et al. | Jun 2013 | B2 |
| 8473289 | Jitkoff et al. | Jun 2013 | B2 |
| 8477323 | Low | Jul 2013 | B2 |
| 8479122 | Hotelling et al. | Jul 2013 | B2 |
| 8484027 | Murphy | Jul 2013 | B1 |
| 8489599 | Bellotti | Jul 2013 | B2 |
| 8498857 | Kopparapu et al. | Jul 2013 | B2 |
| 8514197 | Shahraray et al. | Aug 2013 | B2 |
| 8515750 | Lei et al. | Aug 2013 | B1 |
| 8521513 | Millett et al. | Aug 2013 | B2 |
| 8521531 | Kim | Aug 2013 | B1 |
| 8527276 | Senior et al. | Sep 2013 | B1 |
| 8543398 | Strope et al. | Sep 2013 | B1 |
| 8560229 | Park et al. | Oct 2013 | B1 |
| 8571851 | Tickner et al. | Oct 2013 | B1 |
| 8583416 | Huang et al. | Nov 2013 | B2 |
| 8583511 | Hendrickson | Nov 2013 | B2 |
| 8589161 | Kennewick | Nov 2013 | B2 |
| 8589869 | Wolfram | Nov 2013 | B2 |
| 8589911 | Sharkey | Nov 2013 | B1 |
| 8595004 | Koshinaka | Nov 2013 | B2 |
| 8600743 | Lindahl et al. | Dec 2013 | B2 |
| 8600930 | Seta et al. | Dec 2013 | B2 |
| 8606568 | Tickner et al. | Dec 2013 | B1 |
| 8620659 | Di Cristo et al. | Dec 2013 | B2 |
| 8620662 | Bellegarda | Dec 2013 | B2 |
| 8626681 | Jurca et al. | Jan 2014 | B1 |
| 8639516 | Lindahl et al. | Jan 2014 | B2 |
| 8645137 | Bellegarda et al. | Feb 2014 | B2 |
| 8645138 | Weinstein et al. | Feb 2014 | B1 |
| 8654936 | Tofighbakhsh et al. | Feb 2014 | B1 |
| 8655646 | Lee et al. | Feb 2014 | B2 |
| 8655901 | Li et al. | Feb 2014 | B1 |
| 8660843 | Falcon et al. | Feb 2014 | B2 |
| 8660849 | Gruber et al. | Feb 2014 | B2 |
| 8660924 | Hoch | Feb 2014 | B2 |
| 8660970 | Fiedorowicz | Feb 2014 | B1 |
| 8661112 | Creamer et al. | Feb 2014 | B2 |
| 8661340 | Goldsmith et al. | Feb 2014 | B2 |
| 8670979 | Gruber et al. | Mar 2014 | B2 |
| 8675084 | Bolton et al. | Mar 2014 | B2 |
| 8676904 | Lindahl et al. | Mar 2014 | B2 |
| 8677377 | Cheyer et al. | Mar 2014 | B2 |
| 8681950 | Vlack et al. | Mar 2014 | B2 |
| 8682667 | Haughay et al. | Mar 2014 | B2 |
| 8687777 | Lavian et al. | Apr 2014 | B1 |
| 8688446 | Yanagihara et al. | Apr 2014 | B2 |
| 8688453 | Joshi et al. | Apr 2014 | B1 |
| 8695074 | Saraf et al. | Apr 2014 | B2 |
| 8696364 | Cohen | Apr 2014 | B2 |
| 8706472 | Ramerth et al. | Apr 2014 | B2 |
| 8706474 | Blume et al. | Apr 2014 | B2 |
| 8706503 | Cheyer et al. | Apr 2014 | B2 |
| 8713119 | Lindahl et al. | Apr 2014 | B2 |
| 8713418 | King et al. | Apr 2014 | B2 |
| 8719006 | Bellegarda et al. | May 2014 | B2 |
| 8719014 | Wagner et al. | May 2014 | B2 |
| 8731610 | Appaji | May 2014 | B2 |
| 8731912 | Tickner et al. | May 2014 | B1 |
| 8731942 | Cheyer et al. | May 2014 | B2 |
| 8739208 | Rodriguez et al. | May 2014 | B2 |
| 8744852 | Seymour et al. | Jun 2014 | B1 |
| 8760537 | Johnson et al. | Jun 2014 | B2 |
| 8762145 | Ouchi et al. | Jun 2014 | B2 |
| 8762156 | Chen et al. | Jun 2014 | B2 |
| 8762469 | Lindahl et al. | Jun 2014 | B2 |
| 8768693 | Lempel et al. | Jul 2014 | B2 |
| 8768702 | Boettcher et al. | Jul 2014 | B2 |
| 8775154 | Clinchant et al. | Jul 2014 | B2 |
| 8775931 | Fux et al. | Jul 2014 | B2 |
| 8781456 | Prociw | Jul 2014 | B2 |
| 8781841 | Wang | Jul 2014 | B1 |
| 8798255 | Lubowich et al. | Aug 2014 | B2 |
| 8798995 | Edara et al. | Aug 2014 | B1 |
| 8799000 | Guzzoni et al. | Aug 2014 | B2 |
| 8805690 | LeBeau et al. | Aug 2014 | B1 |
| 8812302 | Xiao et al. | Aug 2014 | B2 |
| 8838457 | Cerra et al. | Sep 2014 | B2 |
| 8855915 | Furuhata et al. | Oct 2014 | B2 |
| 8861925 | Ohme | Oct 2014 | B1 |
| 8862252 | Rottler et al. | Oct 2014 | B2 |
| 8868409 | Mengibar et al. | Oct 2014 | B1 |
| 8868529 | Lerenc | Oct 2014 | B2 |
| 8880405 | Cerra et al. | Nov 2014 | B2 |
| 8886534 | Nakano et al. | Nov 2014 | B2 |
| 8886540 | Cerra et al. | Nov 2014 | B2 |
| 8886541 | Friedlander | Nov 2014 | B2 |
| 8892446 | Cheyer et al. | Nov 2014 | B2 |
| 8893023 | Perry et al. | Nov 2014 | B2 |
| 8898568 | Bull et al. | Nov 2014 | B2 |
| 8903716 | Chen et al. | Dec 2014 | B2 |
| 8909693 | Frissora et al. | Dec 2014 | B2 |
| 8930176 | Li et al. | Jan 2015 | B2 |
| 8930191 | Gruber et al. | Jan 2015 | B2 |
| 8938394 | Faaborg et al. | Jan 2015 | B1 |
| 8942986 | Cheyer et al. | Jan 2015 | B2 |
| 8943423 | Merrill et al. | Jan 2015 | B2 |
| 8964947 | Noolu | Feb 2015 | B1 |
| 8972240 | Brockett et al. | Mar 2015 | B2 |
| 8972432 | Shaw et al. | Mar 2015 | B2 |
| 8972878 | Mohler et al. | Mar 2015 | B2 |
| 8983383 | Haskin | Mar 2015 | B1 |
| 8989713 | Doulton | Mar 2015 | B2 |
| 8990235 | King et al. | Mar 2015 | B2 |
| 8994660 | Neels et al. | Mar 2015 | B2 |
| 8996350 | Dub et al. | Mar 2015 | B1 |
| 8996376 | Fleizach et al. | Mar 2015 | B2 |
| 8996381 | Mozer et al. | Mar 2015 | B2 |
| 8996639 | Faaborg et al. | Mar 2015 | B1 |
| 9009046 | Stewart | Apr 2015 | B1 |
| 9020804 | Barbaiani et al. | Apr 2015 | B2 |
| 9026425 | Nikoulina et al. | May 2015 | B2 |
| 9031834 | Coorman et al. | May 2015 | B2 |
| 9037967 | Al-Jefri et al. | May 2015 | B1 |
| 9043208 | Koch et al. | May 2015 | B2 |
| 9049255 | MacFarlane et al. | Jun 2015 | B2 |
| 9053706 | Jitkoff et al. | Jun 2015 | B2 |
| 9058811 | Wang et al. | Jun 2015 | B2 |
| 9063979 | Chiu et al. | Jun 2015 | B2 |
| 9070366 | Mathias et al. | Jun 2015 | B1 |
| 9071701 | Donaldson et al. | Jun 2015 | B2 |
| 9081411 | Kains et al. | Jul 2015 | B2 |
| 9081482 | Zhai et al. | Jul 2015 | B1 |
| 9082402 | Yadgar et al. | Jul 2015 | B2 |
| 9098467 | Blanksteen et al. | Aug 2015 | B1 |
| 9101279 | Ritchey et al. | Aug 2015 | B2 |
| 9112984 | Sejnoha et al. | Aug 2015 | B2 |
| 9117447 | Gruber et al. | Aug 2015 | B2 |
| 9123338 | Sanders et al. | Sep 2015 | B1 |
| 9171541 | Kennewick et al. | Oct 2015 | B2 |
| 9171546 | Pike | Oct 2015 | B1 |
| 9190062 | Haughay | Nov 2015 | B2 |
| 9208153 | Zaveri et al. | Dec 2015 | B1 |
| 9218809 | Bellegarda | Dec 2015 | B2 |
| 9218819 | Stekkelpak et al. | Dec 2015 | B1 |
| 9223537 | Brown et al. | Dec 2015 | B2 |
| 9255812 | Maeoka et al. | Feb 2016 | B2 |
| 9258604 | Bilobrov et al. | Feb 2016 | B1 |
| 9262612 | Cheyer | Feb 2016 | B2 |
| 9282211 | Osawa | Mar 2016 | B2 |
| 9292487 | Weber | Mar 2016 | B1 |
| 9292489 | Sak et al. | Mar 2016 | B1 |
| 9292492 | Sarikaya | Mar 2016 | B2 |
| 9299344 | Braho et al. | Mar 2016 | B2 |
| 9305543 | Fleizach et al. | Apr 2016 | B2 |
| 9305548 | Kennewick | Apr 2016 | B2 |
| 9311912 | Swietlinski et al. | Apr 2016 | B1 |
| 9313317 | LeBeau et al. | Apr 2016 | B1 |
| 9318108 | Gruber et al. | Apr 2016 | B2 |
| 9325809 | Barros et al. | Apr 2016 | B1 |
| 9330659 | Ju et al. | May 2016 | B2 |
| 9335983 | Breiner | May 2016 | B2 |
| 9338493 | Van Os et al. | May 2016 | B2 |
| 9349368 | LeBeau et al. | May 2016 | B1 |
| 9361084 | Costa | Jun 2016 | B1 |
| 9367541 | Servan et al. | Jun 2016 | B1 |
| 9368114 | Larson | Jun 2016 | B2 |
| 9377871 | Waddell et al. | Jun 2016 | B2 |
| 9378456 | White | Jun 2016 | B2 |
| 9378740 | Rosen et al. | Jun 2016 | B1 |
| 9380155 | Reding et al. | Jun 2016 | B1 |
| 9390726 | Smus et al. | Jul 2016 | B1 |
| 9401147 | Jitkoff et al. | Jul 2016 | B2 |
| 9412392 | Lindahl | Aug 2016 | B2 |
| 9423266 | Clark et al. | Aug 2016 | B2 |
| 9436918 | Pantel et al. | Sep 2016 | B2 |
| 9437186 | Liu et al. | Sep 2016 | B1 |
| 9437189 | Epstein et al. | Sep 2016 | B2 |
| 9442687 | Park | Sep 2016 | B2 |
| 9454957 | Mathias et al. | Sep 2016 | B1 |
| 9483388 | Sankaranarasimhan | Nov 2016 | B2 |
| 9484021 | Mairesse et al. | Nov 2016 | B1 |
| 9495129 | Fleizach et al. | Nov 2016 | B2 |
| 9501741 | Cheyer et al. | Nov 2016 | B2 |
| 9502025 | Kennewick et al. | Nov 2016 | B2 |
| 9510044 | Pereira et al. | Nov 2016 | B1 |
| 9516014 | Zafiroglu | Dec 2016 | B2 |
| 9529500 | Gauci et al. | Dec 2016 | B1 |
| 9536527 | Carlson | Jan 2017 | B1 |
| 9547647 | Badaskar | Jan 2017 | B2 |
| 9548050 | Gruber et al. | Jan 2017 | B2 |
| 9575964 | Yadgar et al. | Feb 2017 | B2 |
| 9578173 | Sanghavi et al. | Feb 2017 | B2 |
| 9607612 | Deleeuw | Mar 2017 | B2 |
| 9620113 | Kennewick et al. | Apr 2017 | B2 |
| 9620126 | Chiba | Apr 2017 | B2 |
| 9626955 | Fleizach et al. | Apr 2017 | B2 |
| 9633004 | Giuli et al. | Apr 2017 | B2 |
| 9633660 | Haughay | Apr 2017 | B2 |
| 9652453 | Mathur et al. | May 2017 | B2 |
| 9672822 | Brown | Jun 2017 | B2 |
| 9690542 | Reddy et al. | Jun 2017 | B2 |
| 9697827 | Lilly et al. | Jul 2017 | B1 |
| 9721570 | Beal | Aug 2017 | B1 |
| 9734839 | Adams | Aug 2017 | B1 |
| 9741343 | Miles et al. | Aug 2017 | B1 |
| 9760566 | Heck | Sep 2017 | B2 |
| 9959129 | Kannan et al. | May 2018 | B2 |
| 9990129 | Yang | Jun 2018 | B2 |
| 10049161 | Kaneko | Aug 2018 | B2 |
| 10199051 | Binder | Feb 2019 | B2 |
| 10237711 | Linn | Mar 2019 | B2 |
| 10261830 | Gupta | Apr 2019 | B2 |
| 10269345 | Castillo Sanchez | Apr 2019 | B2 |
| 10297253 | Walker, II | May 2019 | B2 |
| 10303772 | Hosn | May 2019 | B2 |
| 10311482 | Baldwin | Jun 2019 | B2 |
| 10332513 | D'Souza | Jun 2019 | B1 |
| 10346753 | Soon-Shiong | Jul 2019 | B2 |
| 10353975 | Oh | Jul 2019 | B2 |
| 10402066 | Kawana | Sep 2019 | B2 |
| 10409454 | Kagan | Sep 2019 | B2 |
| 10417037 | Gruber | Sep 2019 | B2 |
| 10417554 | Scheffler | Sep 2019 | B2 |
| 10446142 | Lim | Oct 2019 | B2 |
| 10469665 | Bell | Nov 2019 | B1 |
| 10474961 | Brigham | Nov 2019 | B2 |
| 10528386 | Yu | Jan 2020 | B2 |
| 10580409 | Walker et al. | Mar 2020 | B2 |
| 10630795 | Aoki | Apr 2020 | B2 |
| 10811013 | Seeker-Walker | Oct 2020 | B1 |
| 20030005174 | Coffman | Jan 2003 | A1 |
| 20030028498 | Hayes-Roth | Feb 2003 | A1 |
| 20030040850 | Najmi | Feb 2003 | A1 |
| 20040056878 | Lau | Mar 2004 | A1 |
| 20040148154 | Acero et al. | Jul 2004 | A1 |
| 20050054381 | Lee | Mar 2005 | A1 |
| 20050143138 | Lee | Jun 2005 | A1 |
| 20070143163 | Weiss | Jun 2007 | A1 |
| 20070174350 | Pell et al. | Jul 2007 | A1 |
| 20080001785 | Elizarov et al. | Jan 2008 | A1 |
| 20080010355 | Vieri et al. | Jan 2008 | A1 |
| 20080010605 | Frank et al. | Jan 2008 | A1 |
| 20080012950 | Lee et al. | Jan 2008 | A1 |
| 20080013751 | Hiselius | Jan 2008 | A1 |
| 20080015863 | Agapi et al. | Jan 2008 | A1 |
| 20080015864 | Ross et al. | Jan 2008 | A1 |
| 20080016575 | Vincent et al. | Jan 2008 | A1 |
| 20080021708 | Bennett et al. | Jan 2008 | A1 |
| 20080021886 | Wang-Aryattanwanich et al. | Jan 2008 | A1 |
| 20080022208 | Morse | Jan 2008 | A1 |
| 20080027711 | Rajendran et al. | Jan 2008 | A1 |
| 20080027726 | Hansen et al. | Jan 2008 | A1 |
| 20080031475 | Goldstein | Feb 2008 | A1 |
| 20080033719 | Hall et al. | Feb 2008 | A1 |
| 20080033723 | Jang et al. | Feb 2008 | A1 |
| 20080034032 | Healey et al. | Feb 2008 | A1 |
| 20080034044 | Bhakta et al. | Feb 2008 | A1 |
| 20080036743 | Westerman et al. | Feb 2008 | A1 |
| 20080040339 | Zhou et al. | Feb 2008 | A1 |
| 20080042970 | Liang et al. | Feb 2008 | A1 |
| 20080043936 | Liebermann | Feb 2008 | A1 |
| 20080043943 | Sipher et al. | Feb 2008 | A1 |
| 20080046239 | Boo | Feb 2008 | A1 |
| 20080046250 | Agapi et al. | Feb 2008 | A1 |
| 20080046422 | Lee et al. | Feb 2008 | A1 |
| 20080046820 | Lee et al. | Feb 2008 | A1 |
| 20080046948 | Verosub | Feb 2008 | A1 |
| 20080048908 | Sato | Feb 2008 | A1 |
| 20080050027 | Bashyam et al. | Feb 2008 | A1 |
| 20080052063 | Bennett et al. | Feb 2008 | A1 |
| 20080052073 | Goto et al. | Feb 2008 | A1 |
| 20080052077 | Bennett et al. | Feb 2008 | A1 |
| 20080052080 | Narayanan et al. | Feb 2008 | A1 |
| 20080052262 | Kosinov et al. | Feb 2008 | A1 |
| 20080055194 | Baudino et al. | Mar 2008 | A1 |
| 20080056459 | Vallier et al. | Mar 2008 | A1 |
| 20080056579 | Guha | Mar 2008 | A1 |
| 20080057922 | Kokes et al. | Mar 2008 | A1 |
| 20080059190 | Chu et al. | Mar 2008 | A1 |
| 20080059200 | Puli | Mar 2008 | A1 |
| 20080059876 | Hantler et al. | Mar 2008 | A1 |
| 20080062141 | Chaudhri | Mar 2008 | A1 |
| 20080065382 | Gerl et al. | Mar 2008 | A1 |
| 20080065387 | Cross et al. | Mar 2008 | A1 |
| 20080071529 | Silverman et al. | Mar 2008 | A1 |
| 20080071544 | Beaufays et al. | Mar 2008 | A1 |
| 20080071742 | Yang et al. | Mar 2008 | A1 |
| 20080072143 | Assadollahi | Mar 2008 | A1 |
| 20080075296 | Lindahl et al. | Mar 2008 | A1 |
| 20080076972 | Dorogusker et al. | Mar 2008 | A1 |
| 20080077310 | Murlidar et al. | Mar 2008 | A1 |
| 20080077384 | Agapi et al. | Mar 2008 | A1 |
| 20080077386 | Gao et al. | Mar 2008 | A1 |
| 20080077391 | Chino et al. | Mar 2008 | A1 |
| 20080077393 | Gao et al. | Mar 2008 | A1 |
| 20080077406 | Ganong, III | Mar 2008 | A1 |
| 20080077859 | Schabes et al. | Mar 2008 | A1 |
| 20080079566 | Singh et al. | Apr 2008 | A1 |
| 20080080411 | Cole | Apr 2008 | A1 |
| 20080082332 | Mallett et al. | Apr 2008 | A1 |
| 20080082338 | O″Neil et al. | Apr 2008 | A1 |
| 20080082390 | Hawkins et al. | Apr 2008 | A1 |
| 20080082576 | Bodin et al. | Apr 2008 | A1 |
| 20080082651 | Singh et al. | Apr 2008 | A1 |
| 20080084974 | Dhanakshirur | Apr 2008 | A1 |
| 20080085689 | Zellner | Apr 2008 | A1 |
| 20080091406 | Baldwin et al. | Apr 2008 | A1 |
| 20080091426 | Rempel et al. | Apr 2008 | A1 |
| 20080091428 | Bellegarda | Apr 2008 | A1 |
| 20080091443 | Strope et al. | Apr 2008 | A1 |
| 20080096531 | Mcquaide et al. | Apr 2008 | A1 |
| 20080096533 | Manfredi et al. | Apr 2008 | A1 |
| 20080096726 | Riley et al. | Apr 2008 | A1 |
| 20080097937 | Hadjarian | Apr 2008 | A1 |
| 20080098302 | Roose | Apr 2008 | A1 |
| 20080098480 | Henry et al. | Apr 2008 | A1 |
| 20080100579 | Robinson et al. | May 2008 | A1 |
| 20080101584 | Gray et al. | May 2008 | A1 |
| 20080103774 | White | May 2008 | A1 |
| 20080109222 | Liu | May 2008 | A1 |
| 20080109402 | Wang et al. | May 2008 | A1 |
| 20080114480 | Harb | May 2008 | A1 |
| 20080114598 | Prieto et al. | May 2008 | A1 |
| 20080114604 | Wei et al. | May 2008 | A1 |
| 20080114841 | Lambert | May 2008 | A1 |
| 20080115084 | Scott et al. | May 2008 | A1 |
| 20080118143 | Gordon et al. | May 2008 | A1 |
| 20080119953 | Reed | May 2008 | A1 |
| 20080120102 | Rao | May 2008 | A1 |
| 20080120112 | Jordan et al. | May 2008 | A1 |
| 20080120196 | Reed et al. | May 2008 | A1 |
| 20080120311 | Reed | May 2008 | A1 |
| 20080120312 | Reed | May 2008 | A1 |
| 20080120330 | Reed | May 2008 | A1 |
| 20080120342 | Reed et al. | May 2008 | A1 |
| 20080122796 | Jobs et al. | May 2008 | A1 |
| 20080124695 | Myers et al. | May 2008 | A1 |
| 20080126075 | Thorn et al. | May 2008 | A1 |
| 20080126077 | Thorn | May 2008 | A1 |
| 20080126091 | Clark et al. | May 2008 | A1 |
| 20080126093 | Sivadas | May 2008 | A1 |
| 20080126100 | Grost et al. | May 2008 | A1 |
| 20080126491 | Portele et al. | May 2008 | A1 |
| 20080129520 | Lee | Jun 2008 | A1 |
| 20080130867 | Bowen | Jun 2008 | A1 |
| 20080131006 | Oliver | Jun 2008 | A1 |
| 20080132221 | Willey et al. | Jun 2008 | A1 |
| 20080132295 | Horowitz | Jun 2008 | A1 |
| 20080133215 | Sarukkai | Jun 2008 | A1 |
| 20080133228 | Rao | Jun 2008 | A1 |
| 20080133230 | Herforth et al. | Jun 2008 | A1 |
| 20080133241 | Baker et al. | Jun 2008 | A1 |
| 20080133479 | Zelevinsky et al. | Jun 2008 | A1 |
| 20080133956 | Fadell | Jun 2008 | A1 |
| 20080140413 | Millman et al. | Jun 2008 | A1 |
| 20080140415 | Shostak | Jun 2008 | A1 |
| 20080140416 | Shostak | Jun 2008 | A1 |
| 20080140652 | Millman et al. | Jun 2008 | A1 |
| 20080140657 | Azvine et al. | Jun 2008 | A1 |
| 20080140702 | Reed et al. | Jun 2008 | A1 |
| 20080141125 | Ghassabian et al. | Jun 2008 | A1 |
| 20080141180 | Reed et al. | Jun 2008 | A1 |
| 20080141182 | Barsness et al. | Jun 2008 | A1 |
| 20080146245 | Appaji | Jun 2008 | A1 |
| 20080146290 | Sreeram et al. | Jun 2008 | A1 |
| 20080147408 | Da Palma et al. | Jun 2008 | A1 |
| 20080147411 | Dames et al. | Jun 2008 | A1 |
| 20080147874 | Yoneda et al. | Jun 2008 | A1 |
| 20080150900 | Han | Jun 2008 | A1 |
| 20080154577 | Kim et al. | Jun 2008 | A1 |
| 20080154599 | Muschett et al. | Jun 2008 | A1 |
| 20080154600 | Tian et al. | Jun 2008 | A1 |
| 20080154603 | Oddo | Jun 2008 | A1 |
| 20080154612 | Evermann et al. | Jun 2008 | A1 |
| 20080154828 | Antebi et al. | Jun 2008 | A1 |
| 20080155409 | Santana | Jun 2008 | A1 |
| 20080157867 | Krah | Jul 2008 | A1 |
| 20080161113 | Hansen et al. | Jul 2008 | A1 |
| 20080162120 | Mactavish et al. | Jul 2008 | A1 |
| 20080162137 | Saitoh et al. | Jul 2008 | A1 |
| 20080162471 | Bernard | Jul 2008 | A1 |
| 20080163119 | Kim et al. | Jul 2008 | A1 |
| 20080163131 | Hirai et al. | Jul 2008 | A1 |
| 20080165144 | Forstall et al. | Jul 2008 | A1 |
| 20080165980 | Pavlovic et al. | Jul 2008 | A1 |
| 20080165994 | Caren et al. | Jul 2008 | A1 |
| 20080167013 | Novick et al. | Jul 2008 | A1 |
| 20080167858 | Christie et al. | Jul 2008 | A1 |
| 20080167876 | Bakis et al. | Jul 2008 | A1 |
| 20080168052 | Ott et al. | Jul 2008 | A1 |
| 20080168144 | Lee | Jul 2008 | A1 |
| 20080168366 | Kocienda et al. | Jul 2008 | A1 |
| 20080172698 | Berger et al. | Jul 2008 | A1 |
| 20080183473 | Nagano et al. | Jul 2008 | A1 |
| 20080186960 | Kocheisen et al. | Aug 2008 | A1 |
| 20080189099 | Friedman et al. | Aug 2008 | A1 |
| 20080189106 | Low et al. | Aug 2008 | A1 |
| 20080189110 | Freeman et al. | Aug 2008 | A1 |
| 20080189114 | Fail et al. | Aug 2008 | A1 |
| 20080189606 | Rybak | Aug 2008 | A1 |
| 20080195312 | Aaron et al. | Aug 2008 | A1 |
| 20080195388 | Bower et al. | Aug 2008 | A1 |
| 20080195391 | Marple et al. | Aug 2008 | A1 |
| 20080195601 | Ntoulas et al. | Aug 2008 | A1 |
| 20080195630 | Exartier et al. | Aug 2008 | A1 |
| 20080195940 | Gail et al. | Aug 2008 | A1 |
| 20080200142 | Abdel-Kader et al. | Aug 2008 | A1 |
| 20080201000 | Heikkila et al. | Aug 2008 | A1 |
| 20080201306 | Cooper et al. | Aug 2008 | A1 |
| 20080201375 | Khedouri et al. | Aug 2008 | A1 |
| 20080201434 | Holmes et al. | Aug 2008 | A1 |
| 20080204379 | Perez-Noguera | Aug 2008 | A1 |
| 20080207176 | Brackbill et al. | Aug 2008 | A1 |
| 20080208585 | Ativanichayaphong et al. | Aug 2008 | A1 |
| 20080208587 | Ben-David et al. | Aug 2008 | A1 |
| 20080208864 | Cucerzan et al. | Aug 2008 | A1 |
| 20080212796 | Denda | Sep 2008 | A1 |
| 20080219641 | Sandrew et al. | Sep 2008 | A1 |
| 20080221866 | Katragadda et al. | Sep 2008 | A1 |
| 20080221879 | Cerra et al. | Sep 2008 | A1 |
| 20080221880 | Cerra et al. | Sep 2008 | A1 |
| 20080221887 | Rose et al. | Sep 2008 | A1 |
| 20080221889 | Cerra et al. | Sep 2008 | A1 |
| 20080221903 | Kanevsky et al. | Sep 2008 | A1 |
| 20080222118 | Scian et al. | Sep 2008 | A1 |
| 20080226130 | Kansai et al. | Sep 2008 | A1 |
| 20080228463 | Mori et al. | Sep 2008 | A1 |
| 20080228485 | Owen | Sep 2008 | A1 |
| 20080228490 | Fischer et al. | Sep 2008 | A1 |
| 20080228495 | Cross et al. | Sep 2008 | A1 |
| 20080228496 | Yu et al. | Sep 2008 | A1 |
| 20080228928 | Donelli et al. | Sep 2008 | A1 |
| 20080229185 | Lynch | Sep 2008 | A1 |
| 20080229218 | Maeng | Sep 2008 | A1 |
| 20080235017 | Satomura et al. | Sep 2008 | A1 |
| 20080235024 | Goldberg et al. | Sep 2008 | A1 |
| 20080235027 | Cross | Sep 2008 | A1 |
| 20080240569 | Tonouchi | Oct 2008 | A1 |
| 20080242280 | Shapiro et al. | Oct 2008 | A1 |
| 20080242322 | Scott et al. | Oct 2008 | A1 |
| 20080242363 | Onda et al. | Oct 2008 | A1 |
| 20080243501 | Hafsteinsson et al. | Oct 2008 | A1 |
| 20080243834 | Rieman et al. | Oct 2008 | A1 |
| 20080244390 | Fux et al. | Oct 2008 | A1 |
| 20080244446 | Lefevre et al. | Oct 2008 | A1 |
| 20080247519 | Abella et al. | Oct 2008 | A1 |
| 20080247529 | Barton et al. | Oct 2008 | A1 |
| 20080248797 | Freeman et al. | Oct 2008 | A1 |
| 20080249770 | Kim et al. | Oct 2008 | A1 |
| 20080249778 | Barton et al. | Oct 2008 | A1 |
| 20080253577 | Eppolito | Oct 2008 | A1 |
| 20080254425 | Cohen et al. | Oct 2008 | A1 |
| 20080255837 | Kahn et al. | Oct 2008 | A1 |
| 20080255842 | Simhi et al. | Oct 2008 | A1 |
| 20080255845 | Bennett | Oct 2008 | A1 |
| 20080256613 | Grover | Oct 2008 | A1 |
| 20080259022 | Mansfield et al. | Oct 2008 | A1 |
| 20080262828 | Och et al. | Oct 2008 | A1 |
| 20080262838 | Nurminen et al. | Oct 2008 | A1 |
| 20080262846 | Burns et al. | Oct 2008 | A1 |
| 20080263139 | Martin | Oct 2008 | A1 |
| 20080267416 | Goldstein et al. | Oct 2008 | A1 |
| 20080270118 | Kuo et al. | Oct 2008 | A1 |
| 20080270138 | Knight et al. | Oct 2008 | A1 |
| 20080270139 | Shi et al. | Oct 2008 | A1 |
| 20080270140 | Hertz et al. | Oct 2008 | A1 |
| 20080270151 | Mahoney et al. | Oct 2008 | A1 |
| 20080270344 | Yurick et al. | Oct 2008 | A1 |
| 20080273672 | Didcock et al. | Nov 2008 | A1 |
| 20080277473 | Kotlarsky et al. | Nov 2008 | A1 |
| 20080281510 | Shahine | Nov 2008 | A1 |
| 20080281582 | Hsu et al. | Nov 2008 | A1 |
| 20080288259 | Chambers et al. | Nov 2008 | A1 |
| 20080288460 | Poniatowski et al. | Nov 2008 | A1 |
| 20080292112 | Valenzuela et al. | Nov 2008 | A1 |
| 20080294418 | Cleary et al. | Nov 2008 | A1 |
| 20080294517 | Hill | Nov 2008 | A1 |
| 20080294651 | Masuyama et al. | Nov 2008 | A1 |
| 20080294981 | Balzano et al. | Nov 2008 | A1 |
| 20080298563 | Rondeau et al. | Dec 2008 | A1 |
| 20080298766 | Wen et al. | Dec 2008 | A1 |
| 20080299523 | Chai et al. | Dec 2008 | A1 |
| 20080300871 | Gilbert | Dec 2008 | A1 |
| 20080300877 | Gilbert et al. | Dec 2008 | A1 |
| 20080300878 | Bennett | Dec 2008 | A1 |
| 20080301567 | Martin et al. | Dec 2008 | A1 |
| 20080303645 | Seymour et al. | Dec 2008 | A1 |
| 20080306727 | Thurmair et al. | Dec 2008 | A1 |
| 20080312909 | Hermansen et al. | Dec 2008 | A1 |
| 20080312928 | Goebel et al. | Dec 2008 | A1 |
| 20080313335 | Jung et al. | Dec 2008 | A1 |
| 20080316183 | Westerman et al. | Dec 2008 | A1 |
| 20080319735 | Kambhatla et al. | Dec 2008 | A1 |
| 20080319738 | Liu et al. | Dec 2008 | A1 |
| 20080319753 | Hancock | Dec 2008 | A1 |
| 20080319763 | Di Fabbrizio et al. | Dec 2008 | A1 |
| 20080319783 | Yao et al. | Dec 2008 | A1 |
| 20090003115 | Lindahl et al. | Jan 2009 | A1 |
| 20090005012 | Van Heugten | Jan 2009 | A1 |
| 20090005891 | Batson et al. | Jan 2009 | A1 |
| 20090006096 | Li et al. | Jan 2009 | A1 |
| 20090006097 | Etezadi et al. | Jan 2009 | A1 |
| 20090006099 | Sharpe et al. | Jan 2009 | A1 |
| 20090006100 | Badger et al. | Jan 2009 | A1 |
| 20090006343 | Platt et al. | Jan 2009 | A1 |
| 20090006345 | Platt et al. | Jan 2009 | A1 |
| 20090006488 | Lindahl et al. | Jan 2009 | A1 |
| 20090006671 | Batson et al. | Jan 2009 | A1 |
| 20090006958 | Pohjola | Jan 2009 | A1 |
| 20090007001 | Morin et al. | Jan 2009 | A1 |
| 20090011709 | Akasaka et al. | Jan 2009 | A1 |
| 20090012748 | Beish et al. | Jan 2009 | A1 |
| 20090012775 | El Hady et al. | Jan 2009 | A1 |
| 20090018828 | Nakadai et al. | Jan 2009 | A1 |
| 20090018829 | Kuperstein | Jan 2009 | A1 |
| 20090018834 | Cooper et al. | Jan 2009 | A1 |
| 20090018835 | Cooper et al. | Jan 2009 | A1 |
| 20090018839 | Cooper et al. | Jan 2009 | A1 |
| 20090018840 | Lutz et al. | Jan 2009 | A1 |
| 20090022329 | Mahowald | Jan 2009 | A1 |
| 20090024595 | Chen | Jan 2009 | A1 |
| 20090028435 | Wu et al. | Jan 2009 | A1 |
| 20090030800 | Grois | Jan 2009 | A1 |
| 20090030978 | Johnson et al. | Jan 2009 | A1 |
| 20090043580 | Mozer et al. | Feb 2009 | A1 |
| 20090043583 | Agapi et al. | Feb 2009 | A1 |
| 20090043763 | Peng | Feb 2009 | A1 |
| 20090044094 | Rapp et al. | Feb 2009 | A1 |
| 20090048821 | Yam et al. | Feb 2009 | A1 |
| 20090048841 | Pollet et al. | Feb 2009 | A1 |
| 20090048845 | Burckart et al. | Feb 2009 | A1 |
| 20090049067 | Murray | Feb 2009 | A1 |
| 20090055168 | Wu et al. | Feb 2009 | A1 |
| 20090055175 | Terrell et al. | Feb 2009 | A1 |
| 20090055179 | Cho et al. | Feb 2009 | A1 |
| 20090055186 | Lance et al. | Feb 2009 | A1 |
| 20090055380 | Peng et al. | Feb 2009 | A1 |
| 20090055381 | Wu et al. | Feb 2009 | A1 |
| 20090055648 | Kim et al. | Feb 2009 | A1 |
| 20090058823 | Kocienda | Mar 2009 | A1 |
| 20090058860 | Fong et al. | Mar 2009 | A1 |
| 20090060351 | Li et al. | Mar 2009 | A1 |
| 20090060472 | Bull et al. | Mar 2009 | A1 |
| 20090063974 | Bull et al. | Mar 2009 | A1 |
| 20090064031 | Bull et al. | Mar 2009 | A1 |
| 20090070097 | Wu et al. | Mar 2009 | A1 |
| 20090070102 | Maegawa | Mar 2009 | A1 |
| 20090070109 | Didcock et al. | Mar 2009 | A1 |
| 20090070114 | Staszak | Mar 2009 | A1 |
| 20090074214 | Bradford et al. | Mar 2009 | A1 |
| 20090076792 | Lawson-Tancred | Mar 2009 | A1 |
| 20090076796 | Daraselia | Mar 2009 | A1 |
| 20090076798 | Oh et al. | Mar 2009 | A1 |
| 20090076819 | Wouters et al. | Mar 2009 | A1 |
| 20090076821 | Brenner et al. | Mar 2009 | A1 |
| 20090076825 | Bradford et al. | Mar 2009 | A1 |
| 20090077165 | Rhodes et al. | Mar 2009 | A1 |
| 20090079622 | Seshadri et al. | Mar 2009 | A1 |
| 20090083034 | Hernandez et al. | Mar 2009 | A1 |
| 20090083035 | Huang et al. | Mar 2009 | A1 |
| 20090083036 | Zhao et al. | Mar 2009 | A1 |
| 20090083037 | Gleason et al. | Mar 2009 | A1 |
| 20090083047 | Lindahl et al. | Mar 2009 | A1 |
| 20090089058 | Bellegarda | Apr 2009 | A1 |
| 20090092239 | Macwan et al. | Apr 2009 | A1 |
| 20090092260 | Powers | Apr 2009 | A1 |
| 20090092261 | Bard | Apr 2009 | A1 |
| 20090092262 | Costa et al. | Apr 2009 | A1 |
| 20090094029 | Koch et al. | Apr 2009 | A1 |
| 20090094033 | Mozer et al. | Apr 2009 | A1 |
| 20090097634 | Nambiar et al. | Apr 2009 | A1 |
| 20090097637 | Boscher et al. | Apr 2009 | A1 |
| 20090098903 | Donaldson et al. | Apr 2009 | A1 |
| 20090100049 | Cao | Apr 2009 | A1 |
| 20090100454 | Weber | Apr 2009 | A1 |
| 20090104898 | Harris | Apr 2009 | A1 |
| 20090106026 | Ferrieux | Apr 2009 | A1 |
| 20090106376 | Tom et al. | Apr 2009 | A1 |
| 20090106397 | O'Keefe | Apr 2009 | A1 |
| 20090112572 | Thorn | Apr 2009 | A1 |
| 20090112576 | Jackson et al. | Apr 2009 | A1 |
| 20090112592 | Candelore et al. | Apr 2009 | A1 |
| 20090112677 | Rhett | Apr 2009 | A1 |
| 20090112892 | Cardie et al. | Apr 2009 | A1 |
| 20090119587 | Allen et al. | May 2009 | A1 |
| 20090123021 | Jung et al. | May 2009 | A1 |
| 20090123071 | Iwasaki | May 2009 | A1 |
| 20090125477 | Lu et al. | May 2009 | A1 |
| 20090125602 | Bhatia et al. | May 2009 | A1 |
| 20090125947 | Ibaraki | May 2009 | A1 |
| 20090128505 | Partridge et al. | May 2009 | A1 |
| 20090132253 | Bellegarda | May 2009 | A1 |
| 20090132255 | Lu | May 2009 | A1 |
| 20090137286 | Luke et al. | May 2009 | A1 |
| 20090138263 | Shozakai et al. | May 2009 | A1 |
| 20090138736 | Chin | May 2009 | A1 |
| 20090138828 | Schultz et al. | May 2009 | A1 |
| 20090144036 | Jorgensen et al. | Jun 2009 | A1 |
| 20090144049 | Haddad et al. | Jun 2009 | A1 |
| 20090144428 | Bowater et al. | Jun 2009 | A1 |
| 20090144609 | Liang et al. | Jun 2009 | A1 |
| 20090146848 | Ghassabian | Jun 2009 | A1 |
| 20090150147 | Jacoby et al. | Jun 2009 | A1 |
| 20090150156 | Kennewick et al. | Jun 2009 | A1 |
| 20090152349 | Bonev et al. | Jun 2009 | A1 |
| 20090153288 | Hope et al. | Jun 2009 | A1 |
| 20090154669 | Wood et al. | Jun 2009 | A1 |
| 20090157382 | Bar | Jun 2009 | A1 |
| 20090157384 | Toutanova et al. | Jun 2009 | A1 |
| 20090157401 | Bennett | Jun 2009 | A1 |
| 20090158200 | Palahnuk et al. | Jun 2009 | A1 |
| 20090158323 | Bober et al. | Jun 2009 | A1 |
| 20090158423 | Orlassino et al. | Jun 2009 | A1 |
| 20090160803 | Hashimoto | Jun 2009 | A1 |
| 20090163243 | Barbera | Jun 2009 | A1 |
| 20090164301 | O'Sullivan et al. | Jun 2009 | A1 |
| 20090164441 | Cheyer | Jun 2009 | A1 |
| 20090164655 | Pettersson et al. | Jun 2009 | A1 |
| 20090164937 | Alviar et al. | Jun 2009 | A1 |
| 20090167508 | Fadell et al. | Jul 2009 | A1 |
| 20090167509 | Fadell et al. | Jul 2009 | A1 |
| 20090171578 | Kim et al. | Jul 2009 | A1 |
| 20090171662 | Huang et al. | Jul 2009 | A1 |
| 20090171664 | Kennewick et al. | Jul 2009 | A1 |
| 20090172108 | Singh | Jul 2009 | A1 |
| 20090172542 | Girish et al. | Jul 2009 | A1 |
| 20090174667 | Kocienda et al. | Jul 2009 | A1 |
| 20090174677 | Gehani et al. | Jul 2009 | A1 |
| 20090177300 | Lee | Jul 2009 | A1 |
| 20090177461 | Ehsani et al. | Jul 2009 | A1 |
| 20090177966 | Chaudhri | Jul 2009 | A1 |
| 20090178040 | Cho | Jul 2009 | A1 |
| 20090182445 | Girish et al. | Jul 2009 | A1 |
| 20090182549 | Anisimovich et al. | Jul 2009 | A1 |
| 20090182702 | Miller | Jul 2009 | A1 |
| 20090183070 | Robbins | Jul 2009 | A1 |
| 20090187402 | Scholl | Jul 2009 | A1 |
| 20090187577 | Reznik et al. | Jul 2009 | A1 |
| 20090187950 | Nicas et al. | Jul 2009 | A1 |
| 20090191895 | Singh et al. | Jul 2009 | A1 |
| 20090192782 | Drewes | Jul 2009 | A1 |
| 20090192787 | Roon | Jul 2009 | A1 |
| 20090192798 | Basson et al. | Jul 2009 | A1 |
| 20090198497 | Kwon | Aug 2009 | A1 |
| 20090204409 | Mozer et al. | Aug 2009 | A1 |
| 20090204478 | Kaib et al. | Aug 2009 | A1 |
| 20090204596 | Brun et al. | Aug 2009 | A1 |
| 20090204601 | Grasset | Aug 2009 | A1 |
| 20090204620 | Thione et al. | Aug 2009 | A1 |
| 20090210230 | Schwarz et al. | Aug 2009 | A1 |
| 20090210232 | Sanchez et al. | Aug 2009 | A1 |
| 20090213134 | Stephanick et al. | Aug 2009 | A1 |
| 20090215466 | Ahl et al. | Aug 2009 | A1 |
| 20090215503 | Zhang et al. | Aug 2009 | A1 |
| 20090216396 | Yamagata | Aug 2009 | A1 |
| 20090216528 | Gemello et al. | Aug 2009 | A1 |
| 20090216540 | Tessel et al. | Aug 2009 | A1 |
| 20090216704 | Zheng et al. | Aug 2009 | A1 |
| 20090219166 | MacFarlane et al. | Sep 2009 | A1 |
| 20090221274 | Venkatakrishnan et al. | Sep 2009 | A1 |
| 20090222257 | Sumita et al. | Sep 2009 | A1 |
| 20090222270 | Likens et al. | Sep 2009 | A2 |
| 20090222488 | Boerries et al. | Sep 2009 | A1 |
| 20090228126 | Spielberg et al. | Sep 2009 | A1 |
| 20090228273 | Wang et al. | Sep 2009 | A1 |
| 20090228277 | Bonforte et al. | Sep 2009 | A1 |
| 20090228281 | Singleton et al. | Sep 2009 | A1 |
| 20090228439 | Manolescu et al. | Sep 2009 | A1 |
| 20090228792 | Van Os et al. | Sep 2009 | A1 |
| 20090228842 | Westerman et al. | Sep 2009 | A1 |
| 20090234638 | Ranjan et al. | Sep 2009 | A1 |
| 20090234651 | Basir et al. | Sep 2009 | A1 |
| 20090234655 | Kwon | Sep 2009 | A1 |
| 20090235280 | Tannier et al. | Sep 2009 | A1 |
| 20090239202 | Stone | Sep 2009 | A1 |
| 20090239552 | Churchill et al. | Sep 2009 | A1 |
| 20090240485 | Dalal et al. | Sep 2009 | A1 |
| 20090241054 | Hendricks | Sep 2009 | A1 |
| 20090241760 | Georges | Oct 2009 | A1 |
| 20090247237 | Mittleman et al. | Oct 2009 | A1 |
| 20090248182 | Logan et al. | Oct 2009 | A1 |
| 20090248395 | Alewine et al. | Oct 2009 | A1 |
| 20090248402 | Ito et al. | Oct 2009 | A1 |
| 20090248420 | Basir et al. | Oct 2009 | A1 |
| 20090248422 | Li et al. | Oct 2009 | A1 |
| 20090248456 | Fahmy et al. | Oct 2009 | A1 |
| 20090249198 | Davis et al. | Oct 2009 | A1 |
| 20090249247 | Tseng et al. | Oct 2009 | A1 |
| 20090252350 | Seguin | Oct 2009 | A1 |
| 20090253457 | Seguin | Oct 2009 | A1 |
| 20090253463 | Shin et al. | Oct 2009 | A1 |
| 20090254339 | Seguin | Oct 2009 | A1 |
| 20090254345 | Fleizach et al. | Oct 2009 | A1 |
| 20090254819 | Song et al. | Oct 2009 | A1 |
| 20090254823 | Barrett | Oct 2009 | A1 |
| 20090259475 | Yamagami et al. | Oct 2009 | A1 |
| 20090259969 | Pallakoff | Oct 2009 | A1 |
| 20090265171 | Davis | Oct 2009 | A1 |
| 20090265368 | Crider et al. | Oct 2009 | A1 |
| 20090271109 | Lee et al. | Oct 2009 | A1 |
| 20090271175 | Bodin et al. | Oct 2009 | A1 |
| 20090271176 | Bodin et al. | Oct 2009 | A1 |
| 20090271178 | Bodin et al. | Oct 2009 | A1 |
| 20090271188 | Agapi et al. | Oct 2009 | A1 |
| 20090271189 | Agapi et al. | Oct 2009 | A1 |
| 20090274315 | Carnes et al. | Nov 2009 | A1 |
| 20090281789 | Waibel et al. | Nov 2009 | A1 |
| 20090284482 | Chin | Nov 2009 | A1 |
| 20090286514 | Lichorowic et al. | Nov 2009 | A1 |
| 20090287583 | Holmes | Nov 2009 | A1 |
| 20090290718 | Kahn et al. | Nov 2009 | A1 |
| 20090292987 | Sorenson | Nov 2009 | A1 |
| 20090296552 | Hicks et al. | Dec 2009 | A1 |
| 20090298474 | George | Dec 2009 | A1 |
| 20090298529 | Mahajan | Dec 2009 | A1 |
| 20090299745 | Kennewick et al. | Dec 2009 | A1 |
| 20090299849 | Cao et al. | Dec 2009 | A1 |
| 20090300391 | Jessup et al. | Dec 2009 | A1 |
| 20090300488 | Salamon et al. | Dec 2009 | A1 |
| 20090304198 | Herre et al. | Dec 2009 | A1 |
| 20090305203 | Okumura et al. | Dec 2009 | A1 |
| 20090306967 | Nicolov et al. | Dec 2009 | A1 |
| 20090306969 | Goud et al. | Dec 2009 | A1 |
| 20090306979 | Jaiswal et al. | Dec 2009 | A1 |
| 20090306980 | Shin | Dec 2009 | A1 |
| 20090306981 | Cromack et al. | Dec 2009 | A1 |
| 20090306985 | Roberts et al. | Dec 2009 | A1 |
| 20090306988 | Chen et al. | Dec 2009 | A1 |
| 20090306989 | Kaji | Dec 2009 | A1 |
| 20090307162 | Bui et al. | Dec 2009 | A1 |
| 20090307201 | Dunning et al. | Dec 2009 | A1 |
| 20090307584 | Davidson et al. | Dec 2009 | A1 |
| 20090307594 | Kosonen et al. | Dec 2009 | A1 |
| 20090313014 | Shin et al. | Dec 2009 | A1 |
| 20090313020 | Koivunen | Dec 2009 | A1 |
| 20090313023 | Jones | Dec 2009 | A1 |
| 20090313026 | Coffman et al. | Dec 2009 | A1 |
| 20090313544 | Wood et al. | Dec 2009 | A1 |
| 20090313564 | Rottler et al. | Dec 2009 | A1 |
| 20090316943 | Frigola Munoz et al. | Dec 2009 | A1 |
| 20090318119 | Basir et al. | Dec 2009 | A1 |
| 20090318198 | Carroll | Dec 2009 | A1 |
| 20090319257 | Blume et al. | Dec 2009 | A1 |
| 20090319266 | Brown et al. | Dec 2009 | A1 |
| 20090326923 | Yan et al. | Dec 2009 | A1 |
| 20090326936 | Nagashima | Dec 2009 | A1 |
| 20090326938 | Marila et al. | Dec 2009 | A1 |
| 20090326949 | Douthitt et al. | Dec 2009 | A1 |
| 20090327977 | Bachfischer et al. | Dec 2009 | A1 |
| 20100004918 | Lee et al. | Jan 2010 | A1 |
| 20100004931 | Ma et al. | Jan 2010 | A1 |
| 20100005081 | Bennett | Jan 2010 | A1 |
| 20100010803 | Ishikawa et al. | Jan 2010 | A1 |
| 20100010814 | Patel | Jan 2010 | A1 |
| 20100013760 | Hirai et al. | Jan 2010 | A1 |
| 20100013796 | Abileah et al. | Jan 2010 | A1 |
| 20100017212 | Attwater et al. | Jan 2010 | A1 |
| 20100017382 | Katragadda et al. | Jan 2010 | A1 |
| 20100019834 | Zerbe et al. | Jan 2010 | A1 |
| 20100023318 | Lemoine | Jan 2010 | A1 |
| 20100023320 | Di Cristo et al. | Jan 2010 | A1 |
| 20100023331 | Duta et al. | Jan 2010 | A1 |
| 20100026526 | Yokota | Feb 2010 | A1 |
| 20100030549 | Lee et al. | Feb 2010 | A1 |
| 20100030928 | Conroy et al. | Feb 2010 | A1 |
| 20100031143 | Rao et al. | Feb 2010 | A1 |
| 20100036653 | Kim et al. | Feb 2010 | A1 |
| 20100036655 | Cecil et al. | Feb 2010 | A1 |
| 20100036660 | Bennett | Feb 2010 | A1 |
| 20100037183 | Miyashita et al. | Feb 2010 | A1 |
| 20100042400 | Block et al. | Feb 2010 | A1 |
| 20100042576 | Roettger et al. | Feb 2010 | A1 |
| 20100046842 | Conwell et al. | Feb 2010 | A1 |
| 20100049498 | Cao et al. | Feb 2010 | A1 |
| 20100049514 | Kennewick et al. | Feb 2010 | A1 |
| 20100050064 | Liu et al. | Feb 2010 | A1 |
| 20100054512 | Solum | Mar 2010 | A1 |
| 20100057435 | Kent et al. | Mar 2010 | A1 |
| 20100057443 | Di Cristo et al. | Mar 2010 | A1 |
| 20100057457 | Ogata et al. | Mar 2010 | A1 |
| 20100057461 | Neubacher et al. | Mar 2010 | A1 |
| 20100057643 | Yang | Mar 2010 | A1 |
| 20100060646 | Unsal et al. | Mar 2010 | A1 |
| 20100063804 | Sato et al. | Mar 2010 | A1 |
| 20100063825 | Williams et al. | Mar 2010 | A1 |
| 20100063961 | Guiheneuf et al. | Mar 2010 | A1 |
| 20100064113 | Lindahl et al. | Mar 2010 | A1 |
| 20100064218 | Bull et al. | Mar 2010 | A1 |
| 20100064226 | Stefaniak et al. | Mar 2010 | A1 |
| 20100066684 | Shahraray et al. | Mar 2010 | A1 |
| 20100067723 | Bergmann et al. | Mar 2010 | A1 |
| 20100067867 | Lin et al. | Mar 2010 | A1 |
| 20100070281 | Conkie et al. | Mar 2010 | A1 |
| 20100070521 | Clinchant et al. | Mar 2010 | A1 |
| 20100070899 | Hunt et al. | Mar 2010 | A1 |
| 20100071003 | Bychkov et al. | Mar 2010 | A1 |
| 20100076760 | Kraenzel et al. | Mar 2010 | A1 |
| 20100076993 | Klawitter et al. | Mar 2010 | A1 |
| 20100077350 | Lim et al. | Mar 2010 | A1 |
| 20100079501 | Ikeda et al. | Apr 2010 | A1 |
| 20100080398 | Waldmann | Apr 2010 | A1 |
| 20100080470 | Deluca et al. | Apr 2010 | A1 |
| 20100081456 | Singh et al. | Apr 2010 | A1 |
| 20100081487 | Chen et al. | Apr 2010 | A1 |
| 20100082286 | Leung | Apr 2010 | A1 |
| 20100082327 | Rogers et al. | Apr 2010 | A1 |
| 20100082328 | Rogers et al. | Apr 2010 | A1 |
| 20100082329 | Silverman et al. | Apr 2010 | A1 |
| 20100082333 | Al-Shammari | Apr 2010 | A1 |
| 20100082346 | Rogers et al. | Apr 2010 | A1 |
| 20100082347 | Rogers et al. | Apr 2010 | A1 |
| 20100082348 | Silverman et al. | Apr 2010 | A1 |
| 20100082349 | Bellegarda et al. | Apr 2010 | A1 |
| 20100082567 | Rosenblatt et al. | Apr 2010 | A1 |
| 20100082970 | Lindahl et al. | Apr 2010 | A1 |
| 20100086152 | Rank et al. | Apr 2010 | A1 |
| 20100086153 | Hagen et al. | Apr 2010 | A1 |
| 20100086156 | Rank et al. | Apr 2010 | A1 |
| 20100088020 | Sano et al. | Apr 2010 | A1 |
| 20100088093 | Lee et al. | Apr 2010 | A1 |
| 20100088100 | Lindahl | Apr 2010 | A1 |
| 20100094632 | Davis et al. | Apr 2010 | A1 |
| 20100098231 | Wohlert et al. | Apr 2010 | A1 |
| 20100100212 | Lindahl et al. | Apr 2010 | A1 |
| 20100100384 | Ju et al. | Apr 2010 | A1 |
| 20100100385 | Davis et al. | Apr 2010 | A1 |
| 20100100816 | Mccloskey et al. | Apr 2010 | A1 |
| 20100103776 | Chan | Apr 2010 | A1 |
| 20100106486 | Hua et al. | Apr 2010 | A1 |
| 20100106498 | Morrison et al. | Apr 2010 | A1 |
| 20100106500 | McKee et al. | Apr 2010 | A1 |
| 20100106503 | Farrell et al. | Apr 2010 | A1 |
| 20100114856 | Kuboyama | May 2010 | A1 |
| 20100114887 | Conway et al. | May 2010 | A1 |
| 20100121637 | Roy et al. | May 2010 | A1 |
| 20100125456 | Weng et al. | May 2010 | A1 |
| 20100125458 | Franco et al. | May 2010 | A1 |
| 20100125460 | Mellott et al. | May 2010 | A1 |
| 20100125811 | Moore et al. | May 2010 | A1 |
| 20100131269 | Park et al. | May 2010 | A1 |
| 20100131273 | Aley-Raz et al. | May 2010 | A1 |
| 20100131498 | Linthicum et al. | May 2010 | A1 |
| 20100131899 | Hubert | May 2010 | A1 |
| 20100138215 | Williams | Jun 2010 | A1 |
| 20100138224 | Bedingfield, Sr. | Jun 2010 | A1 |
| 20100138416 | Bellotti | Jun 2010 | A1 |
| 20100138680 | Brisebois et al. | Jun 2010 | A1 |
| 20100138759 | Roy | Jun 2010 | A1 |
| 20100138798 | Wilson et al. | Jun 2010 | A1 |
| 20100142740 | Roerup | Jun 2010 | A1 |
| 20100145694 | Ju et al. | Jun 2010 | A1 |
| 20100145700 | Kennewick et al. | Jun 2010 | A1 |
| 20100145707 | Ljolje et al. | Jun 2010 | A1 |
| 20100146442 | Nagasaka et al. | Jun 2010 | A1 |
| 20100150321 | Harris et al. | Jun 2010 | A1 |
| 20100153114 | Shih et al. | Jun 2010 | A1 |
| 20100153115 | Klee et al. | Jun 2010 | A1 |
| 20100153448 | Harpur et al. | Jun 2010 | A1 |
| 20100161311 | Massuh | Jun 2010 | A1 |
| 20100161313 | Karttunen | Jun 2010 | A1 |
| 20100161337 | Pulz et al. | Jun 2010 | A1 |
| 20100161554 | Datuashvili et al. | Jun 2010 | A1 |
| 20100164897 | Morin et al. | Jul 2010 | A1 |
| 20100169075 | Raffa et al. | Jul 2010 | A1 |
| 20100169093 | Washio | Jul 2010 | A1 |
| 20100169097 | Nachman et al. | Jul 2010 | A1 |
| 20100169098 | Patch | Jul 2010 | A1 |
| 20100171713 | Kwok et al. | Jul 2010 | A1 |
| 20100174544 | Heifets | Jul 2010 | A1 |
| 20100175066 | Paik | Jul 2010 | A1 |
| 20100179932 | Yoon et al. | Jul 2010 | A1 |
| 20100179991 | Lorch et al. | Jul 2010 | A1 |
| 20100180218 | Boston et al. | Jul 2010 | A1 |
| 20100185448 | Meisel | Jul 2010 | A1 |
| 20100185949 | Jaeger | Jul 2010 | A1 |
| 20100191520 | Gruhn et al. | Jul 2010 | A1 |
| 20100197359 | Harris | Aug 2010 | A1 |
| 20100199180 | Brichter et al. | Aug 2010 | A1 |
| 20100199215 | Seymour et al. | Aug 2010 | A1 |
| 20100204986 | Kennewick et al. | Aug 2010 | A1 |
| 20100211199 | Naik et al. | Aug 2010 | A1 |
| 20100211379 | Gorman et al. | Aug 2010 | A1 |
| 20100216509 | Riemer et al. | Aug 2010 | A1 |
| 20100217604 | Baldwin et al. | Aug 2010 | A1 |
| 20100222033 | Scott et al. | Sep 2010 | A1 |
| 20100222098 | Garg | Sep 2010 | A1 |
| 20100223055 | Mclean | Sep 2010 | A1 |
| 20100223056 | Kadirkamanathan et al. | Sep 2010 | A1 |
| 20100223131 | Scott et al. | Sep 2010 | A1 |
| 20100225599 | Danielsson et al. | Sep 2010 | A1 |
| 20100225809 | Connors et al. | Sep 2010 | A1 |
| 20100227642 | Kim et al. | Sep 2010 | A1 |
| 20100228540 | Bennett | Sep 2010 | A1 |
| 20100228549 | Herman et al. | Sep 2010 | A1 |
| 20100228691 | Yang et al. | Sep 2010 | A1 |
| 20100229082 | Karmarkar et al. | Sep 2010 | A1 |
| 20100229100 | Miller et al. | Sep 2010 | A1 |
| 20100231474 | Yamagajo et al. | Sep 2010 | A1 |
| 20100235167 | Bourdon | Sep 2010 | A1 |
| 20100235341 | Bennett | Sep 2010 | A1 |
| 20100235729 | Kocienda et al. | Sep 2010 | A1 |
| 20100235732 | Bergman | Sep 2010 | A1 |
| 20100235770 | Ording et al. | Sep 2010 | A1 |
| 20100235780 | Westerman et al. | Sep 2010 | A1 |
| 20100241418 | Maeda et al. | Sep 2010 | A1 |
| 20100250542 | Fujimaki | Sep 2010 | A1 |
| 20100250599 | Schmidt et al. | Sep 2010 | A1 |
| 20100255858 | Juhasz | Oct 2010 | A1 |
| 20100257160 | Cao | Oct 2010 | A1 |
| 20100257478 | Longe et al. | Oct 2010 | A1 |
| 20100262599 | Nitz | Oct 2010 | A1 |
| 20100268537 | Al-Telmissani | Oct 2010 | A1 |
| 20100268539 | Xu et al. | Oct 2010 | A1 |
| 20100269040 | Lee | Oct 2010 | A1 |
| 20100274753 | Liberty et al. | Oct 2010 | A1 |
| 20100277579 | Cho et al. | Nov 2010 | A1 |
| 20100278320 | Arsenault et al. | Nov 2010 | A1 |
| 20100278453 | King | Nov 2010 | A1 |
| 20100280983 | Cho et al. | Nov 2010 | A1 |
| 20100281034 | Petrou et al. | Nov 2010 | A1 |
| 20100286984 | Wandinger et al. | Nov 2010 | A1 |
| 20100286985 | Kennewick et al. | Nov 2010 | A1 |
| 20100287514 | Cragun et al. | Nov 2010 | A1 |
| 20100290632 | Lin | Nov 2010 | A1 |
| 20100293460 | Budelli | Nov 2010 | A1 |
| 20100295645 | Falldin et al. | Nov 2010 | A1 |
| 20100299133 | Kopparapu et al. | Nov 2010 | A1 |
| 20100299138 | Kim | Nov 2010 | A1 |
| 20100299142 | Freeman et al. | Nov 2010 | A1 |
| 20100302056 | Dutton et al. | Dec 2010 | A1 |
| 20100304342 | Zilber | Dec 2010 | A1 |
| 20100304705 | Hursey et al. | Dec 2010 | A1 |
| 20100305807 | Basir et al. | Dec 2010 | A1 |
| 20100305947 | Schwarz et al. | Dec 2010 | A1 |
| 20100312547 | Van Os et al. | Dec 2010 | A1 |
| 20100312566 | Odinak et al. | Dec 2010 | A1 |
| 20100318366 | Sullivan et al. | Dec 2010 | A1 |
| 20100318576 | Kim | Dec 2010 | A1 |
| 20100322438 | Siotis | Dec 2010 | A1 |
| 20100324709 | Starmen | Dec 2010 | A1 |
| 20100324895 | Kurzweil et al. | Dec 2010 | A1 |
| 20100324896 | Attwater et al. | Dec 2010 | A1 |
| 20100324905 | Kurzweil et al. | Dec 2010 | A1 |
| 20100325131 | Dumais et al. | Dec 2010 | A1 |
| 20100325158 | Oral et al. | Dec 2010 | A1 |
| 20100325573 | Estrada et al. | Dec 2010 | A1 |
| 20100325588 | Reddy et al. | Dec 2010 | A1 |
| 20100330908 | Maddern et al. | Dec 2010 | A1 |
| 20100332220 | Hursey et al. | Dec 2010 | A1 |
| 20100332224 | Mäkelä et al. | Dec 2010 | A1 |
| 20100332235 | David | Dec 2010 | A1 |
| 20100332236 | Tan | Dec 2010 | A1 |
| 20100332280 | Bradley et al. | Dec 2010 | A1 |
| 20100332348 | Cao | Dec 2010 | A1 |
| 20100332428 | Mchenry et al. | Dec 2010 | A1 |
| 20100332976 | Fux et al. | Dec 2010 | A1 |
| 20100333030 | Johns | Dec 2010 | A1 |
| 20100333163 | Daly | Dec 2010 | A1 |
| 20110002487 | Panther et al. | Jan 2011 | A1 |
| 20110004475 | Bellegarda | Jan 2011 | A1 |
| 20110009107 | Guba et al. | Jan 2011 | A1 |
| 20110010178 | Lee et al. | Jan 2011 | A1 |
| 20110010644 | Merrill et al. | Jan 2011 | A1 |
| 20110015928 | Odell et al. | Jan 2011 | A1 |
| 20110016150 | Engstrom et al. | Jan 2011 | A1 |
| 20110018695 | Bells et al. | Jan 2011 | A1 |
| 20110021213 | Carr | Jan 2011 | A1 |
| 20110022292 | Shen et al. | Jan 2011 | A1 |
| 20110022388 | Wu et al. | Jan 2011 | A1 |
| 20110022393 | Waller et al. | Jan 2011 | A1 |
| 20110022394 | Wide et al. | Jan 2011 | A1 |
| 20110022472 | Zon et al. | Jan 2011 | A1 |
| 20110022952 | Wu et al. | Jan 2011 | A1 |
| 20110029616 | Wang et al. | Feb 2011 | A1 |
| 20110030067 | Wilson | Feb 2011 | A1 |
| 20110033064 | Johnson et al. | Feb 2011 | A1 |
| 20110034183 | Haag et al. | Feb 2011 | A1 |
| 20110035144 | Okamoto et al. | Feb 2011 | A1 |
| 20110035434 | Lockwood | Feb 2011 | A1 |
| 20110038489 | Visser et al. | Feb 2011 | A1 |
| 20110040707 | Theisen et al. | Feb 2011 | A1 |
| 20110045841 | Kuhlke et al. | Feb 2011 | A1 |
| 20110047072 | Ciurea | Feb 2011 | A1 |
| 20110047149 | Vaananen | Feb 2011 | A1 |
| 20110047161 | Myaeng et al. | Feb 2011 | A1 |
| 20110050591 | Kim et al. | Mar 2011 | A1 |
| 20110050592 | Kim et al. | Mar 2011 | A1 |
| 20110054647 | Chipchase | Mar 2011 | A1 |
| 20110054894 | Phillips et al. | Mar 2011 | A1 |
| 20110054901 | Qin et al. | Mar 2011 | A1 |
| 20110055256 | Phillips et al. | Mar 2011 | A1 |
| 20110060584 | Ferrucci et al. | Mar 2011 | A1 |
| 20110060587 | Phillips et al. | Mar 2011 | A1 |
| 20110060589 | Weinberg et al. | Mar 2011 | A1 |
| 20110060807 | Martin et al. | Mar 2011 | A1 |
| 20110064387 | Mendeloff et al. | Mar 2011 | A1 |
| 20110065456 | Brennan et al. | Mar 2011 | A1 |
| 20110066366 | Ellanti et al. | Mar 2011 | A1 |
| 20110066468 | Huang et al. | Mar 2011 | A1 |
| 20110066634 | Phillips et al. | Mar 2011 | A1 |
| 20110072492 | Mohler et al. | Mar 2011 | A1 |
| 20110076994 | Kim et al. | Mar 2011 | A1 |
| 20110077943 | Miki et al. | Mar 2011 | A1 |
| 20110080260 | Wang et al. | Apr 2011 | A1 |
| 20110081889 | Gao et al. | Apr 2011 | A1 |
| 20110082688 | Kim et al. | Apr 2011 | A1 |
| 20110083079 | Farrell et al. | Apr 2011 | A1 |
| 20110087491 | Wittenstein et al. | Apr 2011 | A1 |
| 20110090078 | Kim et al. | Apr 2011 | A1 |
| 20110093261 | Angott | Apr 2011 | A1 |
| 20110093265 | Stent et al. | Apr 2011 | A1 |
| 20110093271 | Bernard et al. | Apr 2011 | A1 |
| 20110099000 | Rai et al. | Apr 2011 | A1 |
| 20110103682 | Chidlovskii et al. | May 2011 | A1 |
| 20110105097 | Tadayon et al. | May 2011 | A1 |
| 20110106736 | Aharonson et al. | May 2011 | A1 |
| 20110106892 | Nelson et al. | May 2011 | A1 |
| 20110110502 | Daye et al. | May 2011 | A1 |
| 20110111724 | Baptiste | May 2011 | A1 |
| 20110112827 | Kennewick et al. | May 2011 | A1 |
| 20110112837 | Kurki-Suonio et al. | May 2011 | A1 |
| 20110112838 | Adibi | May 2011 | A1 |
| 20110112921 | Kennewick et al. | May 2011 | A1 |
| 20110116610 | Shaw et al. | May 2011 | A1 |
| 20110119049 | Ylonen | May 2011 | A1 |
| 20110119051 | Li et al. | May 2011 | A1 |
| 20110119623 | Kim | May 2011 | A1 |
| 20110119715 | Chang et al. | May 2011 | A1 |
| 20110123004 | Chang et al. | May 2011 | A1 |
| 20110125498 | Pickering et al. | May 2011 | A1 |
| 20110125540 | Jang et al. | May 2011 | A1 |
| 20110125701 | Nair et al. | May 2011 | A1 |
| 20110130958 | Stahl et al. | Jun 2011 | A1 |
| 20110131036 | DiCristo et al. | Jun 2011 | A1 |
| 20110131038 | Oyaizu et al. | Jun 2011 | A1 |
| 20110131045 | Cristo et al. | Jun 2011 | A1 |
| 20110137636 | Srihari et al. | Jun 2011 | A1 |
| 20110141141 | Kankainen | Jun 2011 | A1 |
| 20110143726 | de Silva | Jun 2011 | A1 |
| 20110143811 | Rodriguez | Jun 2011 | A1 |
| 20110144857 | Wingrove et al. | Jun 2011 | A1 |
| 20110144901 | Wang | Jun 2011 | A1 |
| 20110144973 | Bocchieri et al. | Jun 2011 | A1 |
| 20110144999 | Jang et al. | Jun 2011 | A1 |
| 20110145718 | Ketola et al. | Jun 2011 | A1 |
| 20110151830 | Blanda et al. | Jun 2011 | A1 |
| 20110153209 | Geelen | Jun 2011 | A1 |
| 20110153322 | Kwak et al. | Jun 2011 | A1 |
| 20110153324 | Ballinger et al. | Jun 2011 | A1 |
| 20110153329 | Moorer | Jun 2011 | A1 |
| 20110153330 | Yazdani et al. | Jun 2011 | A1 |
| 20110153373 | Dantzig et al. | Jun 2011 | A1 |
| 20110154193 | Creutz et al. | Jun 2011 | A1 |
| 20110157029 | Tseng | Jun 2011 | A1 |
| 20110161072 | Terao et al. | Jun 2011 | A1 |
| 20110161076 | Davis et al. | Jun 2011 | A1 |
| 20110161079 | Gruhn et al. | Jun 2011 | A1 |
| 20110161309 | Lung et al. | Jun 2011 | A1 |
| 20110161852 | Vainio et al. | Jun 2011 | A1 |
| 20110166851 | LeBeau et al. | Jul 2011 | A1 |
| 20110167350 | Hoellwarth | Jul 2011 | A1 |
| 20110175810 | Markovic et al. | Jul 2011 | A1 |
| 20110179002 | Dumitru et al. | Jul 2011 | A1 |
| 20110179372 | Moore et al. | Jul 2011 | A1 |
| 20110183650 | Mckee et al. | Jul 2011 | A1 |
| 20110184721 | Subramanian et al. | Jul 2011 | A1 |
| 20110184730 | LeBeau et al. | Jul 2011 | A1 |
| 20110184736 | Slotznick | Jul 2011 | A1 |
| 20110184737 | Nakano et al. | Jul 2011 | A1 |
| 20110184768 | Norton et al. | Jul 2011 | A1 |
| 20110185288 | Gupta et al. | Jul 2011 | A1 |
| 20110191108 | Friedlander | Aug 2011 | A1 |
| 20110191271 | Baker et al. | Aug 2011 | A1 |
| 20110191344 | Jin et al. | Aug 2011 | A1 |
| 20110195758 | Damale et al. | Aug 2011 | A1 |
| 20110196670 | Dang et al. | Aug 2011 | A1 |
| 20110197128 | Assadollahi et al. | Aug 2011 | A1 |
| 20110201385 | Higginbotham et al. | Aug 2011 | A1 |
| 20110201387 | Paek et al. | Aug 2011 | A1 |
| 20110202526 | Lee et al. | Aug 2011 | A1 |
| 20110205149 | Tom et al. | Aug 2011 | A1 |
| 20110208511 | Sikstrom et al. | Aug 2011 | A1 |
| 20110208524 | Haughay | Aug 2011 | A1 |
| 20110209088 | Hinckley et al. | Aug 2011 | A1 |
| 20110212717 | Rhoads et al. | Sep 2011 | A1 |
| 20110218806 | Alewine et al. | Sep 2011 | A1 |
| 20110218855 | Cao et al. | Sep 2011 | A1 |
| 20110219018 | Bailey et al. | Sep 2011 | A1 |
| 20110223893 | Lau et al. | Sep 2011 | A1 |
| 20110224972 | Millett et al. | Sep 2011 | A1 |
| 20110228913 | Cochinwala et al. | Sep 2011 | A1 |
| 20110231182 | Weider et al. | Sep 2011 | A1 |
| 20110231184 | Kerr | Sep 2011 | A1 |
| 20110231188 | Kennewick et al. | Sep 2011 | A1 |
| 20110231432 | Sata et al. | Sep 2011 | A1 |
| 20110231474 | Locker et al. | Sep 2011 | A1 |
| 20110238407 | Kent | Sep 2011 | A1 |
| 20110238408 | Larcheveque et al. | Sep 2011 | A1 |
| 20110238676 | Liu et al. | Sep 2011 | A1 |
| 20110239111 | Grover | Sep 2011 | A1 |
| 20110242007 | Gray et al. | Oct 2011 | A1 |
| 20110246471 | Rakib et al. | Oct 2011 | A1 |
| 20110249144 | Chang | Oct 2011 | A1 |
| 20110250570 | Mack et al. | Oct 2011 | A1 |
| 20110258188 | Abdalmageed et al. | Oct 2011 | A1 |
| 20110260829 | Lee | Oct 2011 | A1 |
| 20110260861 | Singh et al. | Oct 2011 | A1 |
| 20110264643 | Cao | Oct 2011 | A1 |
| 20110264999 | Bells et al. | Oct 2011 | A1 |
| 20110274303 | Filson et al. | Nov 2011 | A1 |
| 20110276595 | Kirkland et al. | Nov 2011 | A1 |
| 20110276598 | Kozempel | Nov 2011 | A1 |
| 20110276944 | Bergman et al. | Nov 2011 | A1 |
| 20110279368 | Klein et al. | Nov 2011 | A1 |
| 20110282663 | Talwar et al. | Nov 2011 | A1 |
| 20110282888 | Koperski et al. | Nov 2011 | A1 |
| 20110282906 | Wong | Nov 2011 | A1 |
| 20110283189 | McCarty | Nov 2011 | A1 |
| 20110288852 | Dymetman et al. | Nov 2011 | A1 |
| 20110288855 | Roy | Nov 2011 | A1 |
| 20110288861 | Kurzweil et al. | Nov 2011 | A1 |
| 20110288863 | Rasmussen | Nov 2011 | A1 |
| 20110288866 | Rasmussen | Nov 2011 | A1 |
| 20110298585 | Barry | Dec 2011 | A1 |
| 20110301943 | Patch | Dec 2011 | A1 |
| 20110302162 | Xiao et al. | Dec 2011 | A1 |
| 20110306426 | Novak et al. | Dec 2011 | A1 |
| 20110307241 | Waibel et al. | Dec 2011 | A1 |
| 20110307491 | Fisk et al. | Dec 2011 | A1 |
| 20110307810 | Hilerio et al. | Dec 2011 | A1 |
| 20110313775 | Laligand et al. | Dec 2011 | A1 |
| 20110314003 | Ju et al. | Dec 2011 | A1 |
| 20110314032 | Bennett et al. | Dec 2011 | A1 |
| 20110314404 | Kotler et al. | Dec 2011 | A1 |
| 20110320187 | Motik et al. | Dec 2011 | A1 |
| 20120002820 | Leichter | Jan 2012 | A1 |
| 20120005602 | Anttila et al. | Jan 2012 | A1 |
| 20120008754 | Mukherjee et al. | Jan 2012 | A1 |
| 20120010886 | Razavilar | Jan 2012 | A1 |
| 20120011138 | Dunning et al. | Jan 2012 | A1 |
| 20120013609 | Reponen et al. | Jan 2012 | A1 |
| 20120015629 | Olsen et al. | Jan 2012 | A1 |
| 20120016658 | Wu et al. | Jan 2012 | A1 |
| 20120016678 | Gruber | Jan 2012 | A1 |
| 20120019400 | Patel et al. | Jan 2012 | A1 |
| 20120020490 | Leichter | Jan 2012 | A1 |
| 20120022787 | LeBeau et al. | Jan 2012 | A1 |
| 20120022857 | Baldwin et al. | Jan 2012 | A1 |
| 20120022860 | Lloyd et al. | Jan 2012 | A1 |
| 20120022868 | LeBeau et al. | Jan 2012 | A1 |
| 20120022869 | Lloyd et al. | Jan 2012 | A1 |
| 20120022870 | Kristjansson et al. | Jan 2012 | A1 |
| 20120022872 | Gruber et al. | Jan 2012 | A1 |
| 20120022874 | Lloyd et al. | Jan 2012 | A1 |
| 20120022876 | LeBeau et al. | Jan 2012 | A1 |
| 20120022967 | Bachman et al. | Jan 2012 | A1 |
| 20120023088 | Cheng et al. | Jan 2012 | A1 |
| 20120023095 | Wadycki et al. | Jan 2012 | A1 |
| 20120023462 | Rosing et al. | Jan 2012 | A1 |
| 20120029661 | Jones et al. | Feb 2012 | A1 |
| 20120029910 | Medlock et al. | Feb 2012 | A1 |
| 20120034904 | LeBeau et al. | Feb 2012 | A1 |
| 20120035907 | Lebeau et al. | Feb 2012 | A1 |
| 20120035908 | Lebeau et al. | Feb 2012 | A1 |
| 20120035924 | Jitkoff et al. | Feb 2012 | A1 |
| 20120035925 | Friend et al. | Feb 2012 | A1 |
| 20120035926 | Ambler | Feb 2012 | A1 |
| 20120035931 | LeBeau et al. | Feb 2012 | A1 |
| 20120035932 | Jitkoff et al. | Feb 2012 | A1 |
| 20120036556 | LeBeau et al. | Feb 2012 | A1 |
| 20120039539 | Boiman et al. | Feb 2012 | A1 |
| 20120041752 | Wang et al. | Feb 2012 | A1 |
| 20120042014 | Desai et al. | Feb 2012 | A1 |
| 20120042343 | Laligand et al. | Feb 2012 | A1 |
| 20120053815 | Montanari et al. | Mar 2012 | A1 |
| 20120053829 | Agarwal et al. | Mar 2012 | A1 |
| 20120053945 | Gupta et al. | Mar 2012 | A1 |
| 20120056815 | Mehra | Mar 2012 | A1 |
| 20120059655 | Cartales | Mar 2012 | A1 |
| 20120062473 | Xiao et al. | Mar 2012 | A1 |
| 20120066212 | Jennings | Mar 2012 | A1 |
| 20120066581 | Spalink | Mar 2012 | A1 |
| 20120075054 | Ge et al. | Mar 2012 | A1 |
| 20120078611 | Soltani et al. | Mar 2012 | A1 |
| 20120078624 | Yook et al. | Mar 2012 | A1 |
| 20120078627 | Wagner | Mar 2012 | A1 |
| 20120078635 | Rothkopf et al. | Mar 2012 | A1 |
| 20120082317 | Pance et al. | Apr 2012 | A1 |
| 20120083286 | Kim et al. | Apr 2012 | A1 |
| 20120084086 | Gilbert et al. | Apr 2012 | A1 |
| 20120084634 | Wong et al. | Apr 2012 | A1 |
| 20120088219 | Briscoe et al. | Apr 2012 | A1 |
| 20120089331 | Schmidt et al. | Apr 2012 | A1 |
| 20120094645 | Jeffrey | Apr 2012 | A1 |
| 20120108166 | Hymel | May 2012 | A1 |
| 20120108221 | Thomas et al. | May 2012 | A1 |
| 20120116770 | Chen et al. | May 2012 | A1 |
| 20120117499 | Mori et al. | May 2012 | A1 |
| 20120124126 | Alcazar et al. | May 2012 | A1 |
| 20120128322 | Shaffer et al. | May 2012 | A1 |
| 20120130709 | Bocchieri et al. | May 2012 | A1 |
| 20120136572 | Norton | May 2012 | A1 |
| 20120136855 | Ni et al. | May 2012 | A1 |
| 20120136985 | Popescu et al. | May 2012 | A1 |
| 20120137367 | Dupont et al. | May 2012 | A1 |
| 20120149342 | Cohen et al. | Jun 2012 | A1 |
| 20120149394 | Singh et al. | Jun 2012 | A1 |
| 20120150544 | McLoughlin et al. | Jun 2012 | A1 |
| 20120150580 | Norton | Jun 2012 | A1 |
| 20120158293 | Burnham | Jun 2012 | A1 |
| 20120158399 | Tremblay et al. | Jun 2012 | A1 |
| 20120158422 | Burnham et al. | Jun 2012 | A1 |
| 20120159380 | Kocienda et al. | Jun 2012 | A1 |
| 20120163710 | Skaff et al. | Jun 2012 | A1 |
| 20120166177 | Beld | Jun 2012 | A1 |
| 20120166196 | Ju et al. | Jun 2012 | A1 |
| 20120173222 | Wang et al. | Jul 2012 | A1 |
| 20120173244 | Kwak et al. | Jul 2012 | A1 |
| 20120173464 | Tur et al. | Jul 2012 | A1 |
| 20120174121 | Treat et al. | Jul 2012 | A1 |
| 20120179457 | Newman et al. | Jul 2012 | A1 |
| 20120179467 | Williams | Jul 2012 | A1 |
| 20120185237 | Gajic et al. | Jul 2012 | A1 |
| 20120185480 | Ni et al. | Jul 2012 | A1 |
| 20120185781 | Guzman et al. | Jul 2012 | A1 |
| 20120191461 | Lin et al. | Jul 2012 | A1 |
| 20120192096 | Bowman et al. | Jul 2012 | A1 |
| 20120197743 | Grigg et al. | Aug 2012 | A1 |
| 20120197995 | Caruso | Aug 2012 | A1 |
| 20120197998 | Kessel et al. | Aug 2012 | A1 |
| 20120201362 | Crossan et al. | Aug 2012 | A1 |
| 20120209853 | Desai et al. | Aug 2012 | A1 |
| 20120209874 | Wong et al. | Aug 2012 | A1 |
| 20120214141 | Raya et al. | Aug 2012 | A1 |
| 20120214517 | Singh et al. | Aug 2012 | A1 |
| 20120215762 | Hall et al. | Aug 2012 | A1 |
| 20120221339 | Wang et al. | Aug 2012 | A1 |
| 20120221552 | Reponen et al. | Aug 2012 | A1 |
| 20120223889 | Medlock et al. | Sep 2012 | A1 |
| 20120223936 | Aughey et al. | Sep 2012 | A1 |
| 20120232885 | Barbosa et al. | Sep 2012 | A1 |
| 20120232886 | Capuozzo et al. | Sep 2012 | A1 |
| 20120232906 | Lindahl et al. | Sep 2012 | A1 |
| 20120239661 | Giblin | Sep 2012 | A1 |
| 20120239761 | Linner et al. | Sep 2012 | A1 |
| 20120242482 | Elumalai et al. | Sep 2012 | A1 |
| 20120245719 | Story, Jr. et al. | Sep 2012 | A1 |
| 20120245941 | Cheyer | Sep 2012 | A1 |
| 20120245944 | Gruber et al. | Sep 2012 | A1 |
| 20120246064 | Balkow | Sep 2012 | A1 |
| 20120250858 | Iqbal et al. | Oct 2012 | A1 |
| 20120252367 | Gaglio et al. | Oct 2012 | A1 |
| 20120252540 | Kirigaya | Oct 2012 | A1 |
| 20120253785 | Hamid et al. | Oct 2012 | A1 |
| 20120253791 | Heck | Oct 2012 | A1 |
| 20120254143 | Varma et al. | Oct 2012 | A1 |
| 20120254152 | Park et al. | Oct 2012 | A1 |
| 20120254290 | Naaman | Oct 2012 | A1 |
| 20120259615 | Morin et al. | Oct 2012 | A1 |
| 20120265528 | Gruber | Oct 2012 | A1 |
| 20120265535 | Bryant-Rich et al. | Oct 2012 | A1 |
| 20120265806 | Blanchflower et al. | Oct 2012 | A1 |
| 20120271625 | Bernard | Oct 2012 | A1 |
| 20120271634 | Lenke | Oct 2012 | A1 |
| 20120271635 | Ljolje | Oct 2012 | A1 |
| 20120271640 | Basir | Oct 2012 | A1 |
| 20120271676 | Aravamudan et al. | Oct 2012 | A1 |
| 20120275377 | Lehane et al. | Nov 2012 | A1 |
| 20120284015 | Drewes | Nov 2012 | A1 |
| 20120284027 | Mallett et al. | Nov 2012 | A1 |
| 20120290291 | Shelley et al. | Nov 2012 | A1 |
| 20120290300 | Lee et al. | Nov 2012 | A1 |
| 20120290680 | Hwang | Nov 2012 | A1 |
| 20120295708 | Hernandez-Abrego et al. | Nov 2012 | A1 |
| 20120296649 | Bansal et al. | Nov 2012 | A1 |
| 20120296654 | Hendrickson et al. | Nov 2012 | A1 |
| 20120296891 | Rangan | Nov 2012 | A1 |
| 20120297341 | Glazer | Nov 2012 | A1 |
| 20120297348 | Santoro | Nov 2012 | A1 |
| 20120303369 | Brush et al. | Nov 2012 | A1 |
| 20120303371 | Labsky et al. | Nov 2012 | A1 |
| 20120304124 | Chen et al. | Nov 2012 | A1 |
| 20120309363 | Gruber et al. | Dec 2012 | A1 |
| 20120310642 | Cao et al. | Dec 2012 | A1 |
| 20120310649 | Cannistraro et al. | Dec 2012 | A1 |
| 20120310652 | O'Sullivan | Dec 2012 | A1 |
| 20120310922 | Johnson et al. | Dec 2012 | A1 |
| 20120311478 | Van Os et al. | Dec 2012 | A1 |
| 20120311583 | Gruber et al. | Dec 2012 | A1 |
| 20120311584 | Gruber et al. | Dec 2012 | A1 |
| 20120311585 | Gruber et al. | Dec 2012 | A1 |
| 20120316862 | Sultan et al. | Dec 2012 | A1 |
| 20120316878 | Singleton et al. | Dec 2012 | A1 |
| 20120317194 | Tian | Dec 2012 | A1 |
| 20120317498 | Logan et al. | Dec 2012 | A1 |
| 20120321112 | Schubert et al. | Dec 2012 | A1 |
| 20120324391 | Tocci et al. | Dec 2012 | A1 |
| 20120327009 | Fleizach | Dec 2012 | A1 |
| 20120329529 | van der Raadt | Dec 2012 | A1 |
| 20120330660 | Jaiswal | Dec 2012 | A1 |
| 20120330661 | Lindahl | Dec 2012 | A1 |
| 20120330990 | Chen et al. | Dec 2012 | A1 |
| 20130005405 | Prociw | Jan 2013 | A1 |
| 20130006633 | Grokop et al. | Jan 2013 | A1 |
| 20130006637 | Kanevsky et al. | Jan 2013 | A1 |
| 20130006638 | Lindahl | Jan 2013 | A1 |
| 20130007648 | Gamon et al. | Jan 2013 | A1 |
| 20130010575 | He et al. | Jan 2013 | A1 |
| 20130013313 | Shechtman et al. | Jan 2013 | A1 |
| 20130013319 | Grant et al. | Jan 2013 | A1 |
| 20130018659 | Chi | Jan 2013 | A1 |
| 20130027875 | Zhu et al. | Jan 2013 | A1 |
| 20130030787 | Cancedda et al. | Jan 2013 | A1 |
| 20130030789 | Dalce | Jan 2013 | A1 |
| 20130030804 | Zavaliagko et al. | Jan 2013 | A1 |
| 20130030815 | Madhvanath et al. | Jan 2013 | A1 |
| 20130030955 | David | Jan 2013 | A1 |
| 20130031162 | Willis et al. | Jan 2013 | A1 |
| 20130031476 | Coin et al. | Jan 2013 | A1 |
| 20130035086 | Chardon et al. | Feb 2013 | A1 |
| 20130035942 | Kim et al. | Feb 2013 | A1 |
| 20130035961 | Yegnanarayanan | Feb 2013 | A1 |
| 20130041647 | Ramerth et al. | Feb 2013 | A1 |
| 20130041654 | Walker et al. | Feb 2013 | A1 |
| 20130041661 | Lee et al. | Feb 2013 | A1 |
| 20130041665 | Jang et al. | Feb 2013 | A1 |
| 20130041968 | Cohen et al. | Feb 2013 | A1 |
| 20130046544 | Kay et al. | Feb 2013 | A1 |
| 20130050089 | Neels et al. | Feb 2013 | A1 |
| 20130054550 | Bolohan | Feb 2013 | A1 |
| 20130054609 | Rajput et al. | Feb 2013 | A1 |
| 20130054613 | Bishop | Feb 2013 | A1 |
| 20130054675 | Jenkins et al. | Feb 2013 | A1 |
| 20130054706 | Graham et al. | Feb 2013 | A1 |
| 20130055099 | Yao et al. | Feb 2013 | A1 |
| 20130055147 | Vasudev et al. | Feb 2013 | A1 |
| 20130063611 | Papakipos et al. | Mar 2013 | A1 |
| 20130066832 | Sheehan et al. | Mar 2013 | A1 |
| 20130067307 | Tian et al. | Mar 2013 | A1 |
| 20130073286 | Bastea-Forte et al. | Mar 2013 | A1 |
| 20130080152 | Brun et al. | Mar 2013 | A1 |
| 20130080162 | Chang et al. | Mar 2013 | A1 |
| 20130080167 | Mozer | Mar 2013 | A1 |
| 20130080177 | Chen | Mar 2013 | A1 |
| 20130080251 | Dempski | Mar 2013 | A1 |
| 20130085755 | Bringert et al. | Apr 2013 | A1 |
| 20130085761 | Bringert et al. | Apr 2013 | A1 |
| 20130090921 | Liu et al. | Apr 2013 | A1 |
| 20130091090 | Spivack et al. | Apr 2013 | A1 |
| 20130095805 | Lebeau et al. | Apr 2013 | A1 |
| 20130096909 | Brun et al. | Apr 2013 | A1 |
| 20130096917 | Edgar et al. | Apr 2013 | A1 |
| 20130097566 | Berglund | Apr 2013 | A1 |
| 20130097682 | Zeljkovic et al. | Apr 2013 | A1 |
| 20130100268 | Mihailidis et al. | Apr 2013 | A1 |
| 20130103391 | Millmore et al. | Apr 2013 | A1 |
| 20130103405 | Namba et al. | Apr 2013 | A1 |
| 20130106742 | Lee et al. | May 2013 | A1 |
| 20130110505 | Gruber et al. | May 2013 | A1 |
| 20130110515 | Guzzoni et al. | May 2013 | A1 |
| 20130110518 | Gruber et al. | May 2013 | A1 |
| 20130110519 | Cheyer et al. | May 2013 | A1 |
| 20130110520 | Cheyer et al. | May 2013 | A1 |
| 20130110943 | Menon et al. | May 2013 | A1 |
| 20130111330 | Staikos et al. | May 2013 | A1 |
| 20130111348 | Gruber et al. | May 2013 | A1 |
| 20130111487 | Cheyer et al. | May 2013 | A1 |
| 20130115927 | Gruber et al. | May 2013 | A1 |
| 20130117022 | Chen et al. | May 2013 | A1 |
| 20130124189 | Baldwin et al. | May 2013 | A1 |
| 20130132084 | Stonehocker et al. | May 2013 | A1 |
| 20130132089 | Fanty et al. | May 2013 | A1 |
| 20130132871 | Zeng et al. | May 2013 | A1 |
| 20130141551 | Kim | Jun 2013 | A1 |
| 20130142317 | Reynolds | Jun 2013 | A1 |
| 20130142345 | Waldmann | Jun 2013 | A1 |
| 20130144594 | Bangalore et al. | Jun 2013 | A1 |
| 20130144616 | Bangalore et al. | Jun 2013 | A1 |
| 20130151258 | Chandrasekar et al. | Jun 2013 | A1 |
| 20130151339 | Kim et al. | Jun 2013 | A1 |
| 20130152092 | Yadgar | Jun 2013 | A1 |
| 20130154811 | Ferren et al. | Jun 2013 | A1 |
| 20130158977 | Senior | Jun 2013 | A1 |
| 20130165232 | Nelson et al. | Jun 2013 | A1 |
| 20130166303 | Chang et al. | Jun 2013 | A1 |
| 20130166442 | Nakajima et al. | Jun 2013 | A1 |
| 20130167242 | Paliwal | Jun 2013 | A1 |
| 20130170738 | Capuozzo et al. | Jul 2013 | A1 |
| 20130172022 | Seymour et al. | Jul 2013 | A1 |
| 20130174034 | Brown | Jul 2013 | A1 |
| 20130176244 | Yamamoto et al. | Jul 2013 | A1 |
| 20130176592 | Sasaki | Jul 2013 | A1 |
| 20130179440 | Gordon | Jul 2013 | A1 |
| 20130183944 | Mozer et al. | Jul 2013 | A1 |
| 20130185059 | Riccardi et al. | Jul 2013 | A1 |
| 20130185074 | Gruber et al. | Jul 2013 | A1 |
| 20130185081 | Cheyer et al. | Jul 2013 | A1 |
| 20130185336 | Singh et al. | Jul 2013 | A1 |
| 20130187850 | Schulz et al. | Jul 2013 | A1 |
| 20130191117 | Atti et al. | Jul 2013 | A1 |
| 20130197911 | Wei et al. | Aug 2013 | A1 |
| 20130204813 | Master et al. | Aug 2013 | A1 |
| 20130204897 | McDougall | Aug 2013 | A1 |
| 20130207898 | Sullivan et al. | Aug 2013 | A1 |
| 20130218553 | Fujii et al. | Aug 2013 | A1 |
| 20130218560 | Hsiao et al. | Aug 2013 | A1 |
| 20130222249 | Pasquero et al. | Aug 2013 | A1 |
| 20130225128 | Gomar | Aug 2013 | A1 |
| 20130231917 | Naik | Sep 2013 | A1 |
| 20130234947 | Kristensson et al. | Sep 2013 | A1 |
| 20130235987 | Arroniz-Escobar et al. | Sep 2013 | A1 |
| 20130238647 | Thompson | Sep 2013 | A1 |
| 20130244615 | Miller et al. | Sep 2013 | A1 |
| 20130246048 | Nagase et al. | Sep 2013 | A1 |
| 20130246050 | Yu et al. | Sep 2013 | A1 |
| 20130246329 | Pasquero et al. | Sep 2013 | A1 |
| 20130253911 | Petri et al. | Sep 2013 | A1 |
| 20130253912 | Medlock et al. | Sep 2013 | A1 |
| 20130275117 | Winer | Oct 2013 | A1 |
| 20130275138 | Gruber et al. | Oct 2013 | A1 |
| 20130275164 | Gruber | Oct 2013 | A1 |
| 20130275199 | Proctor, Jr. et al. | Oct 2013 | A1 |
| 20130275625 | Taivalsaari et al. | Oct 2013 | A1 |
| 20130275875 | Gruber et al. | Oct 2013 | A1 |
| 20130275899 | Schubert et al. | Oct 2013 | A1 |
| 20130283168 | Brown et al. | Oct 2013 | A1 |
| 20130289991 | Eshwar et al. | Oct 2013 | A1 |
| 20130289993 | Rao et al. | Oct 2013 | A1 |
| 20130289994 | Newman et al. | Oct 2013 | A1 |
| 20130291015 | Pan | Oct 2013 | A1 |
| 20130297317 | Lee et al. | Nov 2013 | A1 |
| 20130297319 | Kim | Nov 2013 | A1 |
| 20130297348 | Cardoza et al. | Nov 2013 | A1 |
| 20130300645 | Fedorov | Nov 2013 | A1 |
| 20130304479 | Teller et al. | Nov 2013 | A1 |
| 20130304758 | Gruber et al. | Nov 2013 | A1 |
| 20130304815 | Puente et al. | Nov 2013 | A1 |
| 20130305119 | Kern et al. | Nov 2013 | A1 |
| 20130307855 | Lamb et al. | Nov 2013 | A1 |
| 20130307997 | O'Keefe et al. | Nov 2013 | A1 |
| 20130308922 | Sano et al. | Nov 2013 | A1 |
| 20130311997 | Gruber | Nov 2013 | A1 |
| 20130316746 | Miller et al. | Nov 2013 | A1 |
| 20130322634 | Bennett et al. | Dec 2013 | A1 |
| 20130325436 | Wang et al. | Dec 2013 | A1 |
| 20130325443 | Begeja et al. | Dec 2013 | A1 |
| 20130325447 | Levien et al. | Dec 2013 | A1 |
| 20130325448 | Levien et al. | Dec 2013 | A1 |
| 20130325481 | Van Os et al. | Dec 2013 | A1 |
| 20130325484 | Chakladar et al. | Dec 2013 | A1 |
| 20130325967 | Parks et al. | Dec 2013 | A1 |
| 20130325979 | Mansfield et al. | Dec 2013 | A1 |
| 20130329023 | Suplee, III et al. | Dec 2013 | A1 |
| 20130332159 | Federighi et al. | Dec 2013 | A1 |
| 20130332162 | Keen | Dec 2013 | A1 |
| 20130332164 | Nalk | Dec 2013 | A1 |
| 20130332168 | Kim et al. | Dec 2013 | A1 |
| 20130332400 | González | Dec 2013 | A1 |
| 20130339256 | Shroff | Dec 2013 | A1 |
| 20130339454 | Walker | Dec 2013 | A1 |
| 20130346068 | Solem et al. | Dec 2013 | A1 |
| 20130346347 | Patterson et al. | Dec 2013 | A1 |
| 20140006012 | Zhou et al. | Jan 2014 | A1 |
| 20140006025 | Krishnan et al. | Jan 2014 | A1 |
| 20140006027 | Kim et al. | Jan 2014 | A1 |
| 20140006153 | Thangam et al. | Jan 2014 | A1 |
| 20140012574 | Pasupalak | Jan 2014 | A1 |
| 20140012580 | Ganong et al. | Jan 2014 | A1 |
| 20140012586 | Rubin et al. | Jan 2014 | A1 |
| 20140019116 | Lundberg et al. | Jan 2014 | A1 |
| 20140019133 | Bao et al. | Jan 2014 | A1 |
| 20140028735 | Williams et al. | Jan 2014 | A1 |
| 20140032453 | Eustice et al. | Jan 2014 | A1 |
| 20140033071 | Gruber et al. | Jan 2014 | A1 |
| 20140035823 | Khoe et al. | Feb 2014 | A1 |
| 20140039894 | Shostak | Feb 2014 | A1 |
| 20140040274 | Aravamudan et al. | Feb 2014 | A1 |
| 20140040748 | Lemay | Feb 2014 | A1 |
| 20140040801 | Patel et al. | Feb 2014 | A1 |
| 20140040918 | Li et al. | Feb 2014 | A1 |
| 20140046934 | Zhou et al. | Feb 2014 | A1 |
| 20140047001 | Phillips et al. | Feb 2014 | A1 |
| 20140052680 | Nitz et al. | Feb 2014 | A1 |
| 20140052791 | Chakra et al. | Feb 2014 | A1 |
| 20140053082 | Park et al. | Feb 2014 | A1 |
| 20140057610 | Olincy et al. | Feb 2014 | A1 |
| 20140059030 | Hakkani-Tur et al. | Feb 2014 | A1 |
| 20140067361 | Nikoulina et al. | Mar 2014 | A1 |
| 20140067371 | Liensberger | Mar 2014 | A1 |
| 20140067402 | Kim | Mar 2014 | A1 |
| 20140068751 | Last et al. | Mar 2014 | A1 |
| 20140074466 | Sharifi et al. | Mar 2014 | A1 |
| 20140074470 | Jansche et al. | Mar 2014 | A1 |
| 20140074472 | Lin et al. | Mar 2014 | A1 |
| 20140074483 | van Os | Mar 2014 | A1 |
| 20140074815 | Plimton | Mar 2014 | A1 |
| 20140075453 | Bellessort | Mar 2014 | A1 |
| 20140078065 | Akkok et al. | Mar 2014 | A1 |
| 20140080428 | Rhoads et al. | Mar 2014 | A1 |
| 20140081633 | Badaskar | Mar 2014 | A1 |
| 20140082501 | Bae et al. | Mar 2014 | A1 |
| 20140086458 | Rogers et al. | Mar 2014 | A1 |
| 20140087711 | Geyer et al. | Mar 2014 | A1 |
| 20140088961 | Woodward et al. | Mar 2014 | A1 |
| 20140095171 | Lynch et al. | Apr 2014 | A1 |
| 20140095172 | Cabaco et al. | Apr 2014 | A1 |
| 20140095173 | Lynch et al. | Apr 2014 | A1 |
| 20140096209 | Saraf et al. | Apr 2014 | A1 |
| 20140098247 | Rao et al. | Apr 2014 | A1 |
| 20140108017 | Mason et al. | Apr 2014 | A1 |
| 20140114554 | Lagassey | Apr 2014 | A1 |
| 20140118155 | Bowers et al. | May 2014 | A1 |
| 20140122059 | Patel et al. | May 2014 | A1 |
| 20140122086 | Kapur et al. | May 2014 | A1 |
| 20140122136 | Jayanthi | May 2014 | A1 |
| 20140122153 | Truitt | May 2014 | A1 |
| 20140135036 | Bonanni et al. | May 2014 | A1 |
| 20140136187 | Wolverton et al. | May 2014 | A1 |
| 20140136195 | Abdossalami et al. | May 2014 | A1 |
| 20140136212 | Kwon et al. | May 2014 | A1 |
| 20140136946 | Matas | May 2014 | A1 |
| 20140142923 | Jones et al. | May 2014 | A1 |
| 20140142935 | Lindahl et al. | May 2014 | A1 |
| 20140143550 | Ganong, III et al. | May 2014 | A1 |
| 20140143721 | Suzuki et al. | May 2014 | A1 |
| 20140146200 | Scott et al. | May 2014 | A1 |
| 20140152577 | Yuen et al. | Jun 2014 | A1 |
| 20140155031 | Lee et al. | Jun 2014 | A1 |
| 20140157422 | Livshits et al. | Jun 2014 | A1 |
| 20140163951 | Nikoulina et al. | Jun 2014 | A1 |
| 20140163953 | Parikh | Jun 2014 | A1 |
| 20140163954 | Joshi et al. | Jun 2014 | A1 |
| 20140163981 | Cook et al. | Jun 2014 | A1 |
| 20140164532 | Lynch et al. | Jun 2014 | A1 |
| 20140169795 | Clough | Jun 2014 | A1 |
| 20140172412 | Viegas et al. | Jun 2014 | A1 |
| 20140173460 | Kim | Jun 2014 | A1 |
| 20140180499 | Cooper et al. | Jun 2014 | A1 |
| 20140180689 | Kim et al. | Jun 2014 | A1 |
| 20140180697 | Torok et al. | Jun 2014 | A1 |
| 20140188477 | Zhang | Jul 2014 | A1 |
| 20140188478 | Zhang | Jul 2014 | A1 |
| 20140195230 | Han et al. | Jul 2014 | A1 |
| 20140195233 | Bapat | Jul 2014 | A1 |
| 20140195244 | Cha et al. | Jul 2014 | A1 |
| 20140195251 | Zeinstra et al. | Jul 2014 | A1 |
| 20140195252 | Gruber et al. | Jul 2014 | A1 |
| 20140203939 | Harrington et al. | Jul 2014 | A1 |
| 20140207439 | Venkatapathy et al. | Jul 2014 | A1 |
| 20140207446 | Klein et al. | Jul 2014 | A1 |
| 20140207468 | Bartnik | Jul 2014 | A1 |
| 20140207582 | Flinn et al. | Jul 2014 | A1 |
| 20140214429 | Pantel | Jul 2014 | A1 |
| 20140214537 | Yoo et al. | Jul 2014 | A1 |
| 20140218372 | Missig et al. | Aug 2014 | A1 |
| 20140222436 | Binder et al. | Aug 2014 | A1 |
| 20140222678 | Sheets et al. | Aug 2014 | A1 |
| 20140223377 | Shaw et al. | Aug 2014 | A1 |
| 20140223481 | Fundament | Aug 2014 | A1 |
| 20140230055 | Boehl | Aug 2014 | A1 |
| 20140232656 | Pasquero et al. | Aug 2014 | A1 |
| 20140236595 | Gray | Aug 2014 | A1 |
| 20140236986 | Guzman | Aug 2014 | A1 |
| 20140237042 | Ahmed et al. | Aug 2014 | A1 |
| 20140244248 | Arisoy et al. | Aug 2014 | A1 |
| 20140244254 | Ju et al. | Aug 2014 | A1 |
| 20140244257 | Colibro et al. | Aug 2014 | A1 |
| 20140244258 | Song et al. | Aug 2014 | A1 |
| 20140244263 | Pontual et al. | Aug 2014 | A1 |
| 20140244268 | Abdelsamie et al. | Aug 2014 | A1 |
| 20140244271 | Lindahl | Aug 2014 | A1 |
| 20140244712 | Walters | Aug 2014 | A1 |
| 20140245140 | Brown | Aug 2014 | A1 |
| 20140247383 | Dave et al. | Sep 2014 | A1 |
| 20140247926 | Gainsboro et al. | Sep 2014 | A1 |
| 20140249817 | Hart et al. | Sep 2014 | A1 |
| 20140249821 | Kennewick et al. | Sep 2014 | A1 |
| 20140250046 | Winn et al. | Sep 2014 | A1 |
| 20140257815 | Zhao et al. | Sep 2014 | A1 |
| 20140258357 | Singh | Sep 2014 | A1 |
| 20140258857 | Dykstra-Erickson et al. | Sep 2014 | A1 |
| 20140267022 | Kim | Sep 2014 | A1 |
| 20140267599 | Drouin et al. | Sep 2014 | A1 |
| 20140272821 | Pitschel et al. | Sep 2014 | A1 |
| 20140274203 | Ganong et al. | Sep 2014 | A1 |
| 20140274211 | Sejnoha et al. | Sep 2014 | A1 |
| 20140278343 | Tran | Sep 2014 | A1 |
| 20140278349 | Grieves et al. | Sep 2014 | A1 |
| 20140278379 | Coccaro et al. | Sep 2014 | A1 |
| 20140278390 | Kingsbury et al. | Sep 2014 | A1 |
| 20140278391 | Braho et al. | Sep 2014 | A1 |
| 20140278406 | Tsumura et al. | Sep 2014 | A1 |
| 20140278413 | Pitschel et al. | Sep 2014 | A1 |
| 20140278429 | Ganong, III | Sep 2014 | A1 |
| 20140278435 | Ganong et al. | Sep 2014 | A1 |
| 20140278443 | Gunn et al. | Sep 2014 | A1 |
| 20140278513 | Prakash et al. | Sep 2014 | A1 |
| 20140280072 | Coleman | Sep 2014 | A1 |
| 20140280138 | Li et al. | Sep 2014 | A1 |
| 20140280292 | Skinder | Sep 2014 | A1 |
| 20140280353 | Delaney et al. | Sep 2014 | A1 |
| 20140280450 | Luna | Sep 2014 | A1 |
| 20140281983 | Xian et al. | Sep 2014 | A1 |
| 20140282003 | Gruber et al. | Sep 2014 | A1 |
| 20140282007 | Fleizach | Sep 2014 | A1 |
| 20140282045 | Ayanam et al. | Sep 2014 | A1 |
| 20140282201 | Pasquero et al. | Sep 2014 | A1 |
| 20140282559 | Verduzco | Sep 2014 | A1 |
| 20140282586 | Shear et al. | Sep 2014 | A1 |
| 20140282743 | Howard et al. | Sep 2014 | A1 |
| 20140288990 | Moore et al. | Sep 2014 | A1 |
| 20140297267 | Spencer et al. | Oct 2014 | A1 |
| 20140297281 | Togawa et al. | Oct 2014 | A1 |
| 20140297284 | Gruber et al. | Oct 2014 | A1 |
| 20140297288 | Yu et al. | Oct 2014 | A1 |
| 20140304605 | Ohmura et al. | Oct 2014 | A1 |
| 20140310001 | Kalns et al. | Oct 2014 | A1 |
| 20140310002 | Nitz et al. | Oct 2014 | A1 |
| 20140310595 | Acharya | Oct 2014 | A1 |
| 20140316585 | Boesveld et al. | Oct 2014 | A1 |
| 20140317502 | Brown et al. | Oct 2014 | A1 |
| 20140324884 | Lindahl et al. | Oct 2014 | A1 |
| 20140337048 | Brown et al. | Nov 2014 | A1 |
| 20140337266 | Wolverton et al. | Nov 2014 | A1 |
| 20140337438 | Govande et al. | Nov 2014 | A1 |
| 20140337751 | Lim et al. | Nov 2014 | A1 |
| 20140337814 | Kalns et al. | Nov 2014 | A1 |
| 20140344627 | Schaub et al. | Nov 2014 | A1 |
| 20140344687 | Durham et al. | Nov 2014 | A1 |
| 20140350924 | Zurek et al. | Nov 2014 | A1 |
| 20140350933 | Bak et al. | Nov 2014 | A1 |
| 20140351741 | Medlock et al. | Nov 2014 | A1 |
| 20140351760 | Skory et al. | Nov 2014 | A1 |
| 20140358519 | Mirkin et al. | Dec 2014 | A1 |
| 20140358523 | Sheth et al. | Dec 2014 | A1 |
| 20140359637 | Yan | Dec 2014 | A1 |
| 20140365209 | Evermann | Dec 2014 | A1 |
| 20140365214 | Bayley | Dec 2014 | A1 |
| 20140365216 | Gruber et al. | Dec 2014 | A1 |
| 20140365226 | Sinha | Dec 2014 | A1 |
| 20140365227 | Cash | Dec 2014 | A1 |
| 20140365407 | Brown et al. | Dec 2014 | A1 |
| 20140365880 | Bellegarda | Dec 2014 | A1 |
| 20140365885 | Carson | Dec 2014 | A1 |
| 20140365895 | Paulson et al. | Dec 2014 | A1 |
| 20140370817 | Luna | Dec 2014 | A1 |
| 20140370841 | Roberts et al. | Dec 2014 | A1 |
| 20140372112 | Xue et al. | Dec 2014 | A1 |
| 20140372356 | Bilal et al. | Dec 2014 | A1 |
| 20140372931 | Zhai et al. | Dec 2014 | A1 |
| 20140379334 | Fry | Dec 2014 | A1 |
| 20150003797 | Schmidt | Jan 2015 | A1 |
| 20150006148 | Goldszmit et al. | Jan 2015 | A1 |
| 20150006157 | Andrade Silva et al. | Jan 2015 | A1 |
| 20150006178 | Peng et al. | Jan 2015 | A1 |
| 20150006199 | Snider et al. | Jan 2015 | A1 |
| 20150012271 | Peng et al. | Jan 2015 | A1 |
| 20150019219 | Tzirkel-hancock et al. | Jan 2015 | A1 |
| 20150019221 | Lee et al. | Jan 2015 | A1 |
| 20150031416 | Wells et al. | Jan 2015 | A1 |
| 20150033219 | Breiner et al. | Jan 2015 | A1 |
| 20150033275 | Natani et al. | Jan 2015 | A1 |
| 20150039292 | Suleman et al. | Feb 2015 | A1 |
| 20150039299 | Weinstein et al. | Feb 2015 | A1 |
| 20150039305 | Huang | Feb 2015 | A1 |
| 20150040012 | Faaborg et al. | Feb 2015 | A1 |
| 20150045003 | Vora | Feb 2015 | A1 |
| 20150045068 | Soffer et al. | Feb 2015 | A1 |
| 20150046537 | Rakib | Feb 2015 | A1 |
| 20150050633 | Christmas et al. | Feb 2015 | A1 |
| 20150058013 | Pakhomov et al. | Feb 2015 | A1 |
| 20150058018 | Georges et al. | Feb 2015 | A1 |
| 20150058785 | Ookawara | Feb 2015 | A1 |
| 20150065200 | Namgung et al. | Mar 2015 | A1 |
| 20150066494 | Salvador et al. | Mar 2015 | A1 |
| 20150066496 | Deoras et al. | Mar 2015 | A1 |
| 20150066506 | Romano et al. | Mar 2015 | A1 |
| 20150066516 | Nishikawa et al. | Mar 2015 | A1 |
| 20150067485 | Kim et al. | Mar 2015 | A1 |
| 20150067822 | Randall | Mar 2015 | A1 |
| 20150073788 | Allauzen et al. | Mar 2015 | A1 |
| 20150073804 | Senior et al. | Mar 2015 | A1 |
| 20150074524 | Nicholson et al. | Mar 2015 | A1 |
| 20150082229 | Ouyang et al. | Mar 2015 | A1 |
| 20150088511 | Bharadwaj et al. | Mar 2015 | A1 |
| 20150088514 | Typrin | Mar 2015 | A1 |
| 20150088523 | Schuster | Mar 2015 | A1 |
| 20150095031 | Conkie et al. | Apr 2015 | A1 |
| 20150095278 | Flinn et al. | Apr 2015 | A1 |
| 20150100316 | Williams et al. | Apr 2015 | A1 |
| 20150100537 | Grieves et al. | Apr 2015 | A1 |
| 20150100983 | Pan | Apr 2015 | A1 |
| 20150106093 | Weeks et al. | Apr 2015 | A1 |
| 20150113407 | Hoffert et al. | Apr 2015 | A1 |
| 20150120641 | Soon-Shiong | Apr 2015 | A1 |
| 20150120723 | Deshmukh et al. | Apr 2015 | A1 |
| 20150127350 | Agiomyrgiannakis | May 2015 | A1 |
| 20150133109 | Freeman et al. | May 2015 | A1 |
| 20150134334 | Sachidanandam et al. | May 2015 | A1 |
| 20150135085 | Shoham et al. | May 2015 | A1 |
| 20150135123 | Carr et al. | May 2015 | A1 |
| 20150141150 | Zha | May 2015 | A1 |
| 20150142420 | Sarikaya et al. | May 2015 | A1 |
| 20150142438 | Dai et al. | May 2015 | A1 |
| 20150142447 | Kennewick et al. | May 2015 | A1 |
| 20150142851 | Gupta et al. | May 2015 | A1 |
| 20150148013 | Baldwin et al. | May 2015 | A1 |
| 20150149177 | Kalns | May 2015 | A1 |
| 20150149182 | Kalns et al. | May 2015 | A1 |
| 20150149354 | Mccoy | May 2015 | A1 |
| 20150149469 | Xu et al. | May 2015 | A1 |
| 20150154185 | Waibel | Jun 2015 | A1 |
| 20150161370 | North et al. | Jun 2015 | A1 |
| 20150161989 | Hsu et al. | Jun 2015 | A1 |
| 20150170664 | Doherty et al. | Jun 2015 | A1 |
| 20150172463 | Quast et al. | Jun 2015 | A1 |
| 20150178388 | Winnemoeller et al. | Jun 2015 | A1 |
| 20150179176 | Ryu et al. | Jun 2015 | A1 |
| 20150185964 | Stout | Jul 2015 | A1 |
| 20150186012 | Coleman et al. | Jul 2015 | A1 |
| 20150186110 | Kannan | Jul 2015 | A1 |
| 20150186155 | Brown et al. | Jul 2015 | A1 |
| 20150186156 | Brown | Jul 2015 | A1 |
| 20150186351 | Hicks et al. | Jul 2015 | A1 |
| 20150187355 | Parkinson et al. | Jul 2015 | A1 |
| 20150189362 | Lee et al. | Jul 2015 | A1 |
| 20150193379 | Mehta | Jul 2015 | A1 |
| 20150193391 | Khvostichenko et al. | Jul 2015 | A1 |
| 20150193392 | Greenblatt et al. | Jul 2015 | A1 |
| 20150194152 | Katuri et al. | Jul 2015 | A1 |
| 20150195379 | Zhang et al. | Jul 2015 | A1 |
| 20150195606 | McDevitt | Jul 2015 | A1 |
| 20150199077 | Zuger et al. | Jul 2015 | A1 |
| 20150199960 | Huo et al. | Jul 2015 | A1 |
| 20150199965 | Leak et al. | Jul 2015 | A1 |
| 20150201064 | Bells et al. | Jul 2015 | A1 |
| 20150205858 | Xie et al. | Jul 2015 | A1 |
| 20150212791 | Kumar et al. | Jul 2015 | A1 |
| 20150213796 | Waltermann et al. | Jul 2015 | A1 |
| 20150215350 | Slayton | Jul 2015 | A1 |
| 20150220507 | Mohajer et al. | Aug 2015 | A1 |
| 20150221304 | Stewart | Aug 2015 | A1 |
| 20150221307 | Shah et al. | Aug 2015 | A1 |
| 20150227633 | Shapira | Aug 2015 | A1 |
| 20150228281 | Raniere | Aug 2015 | A1 |
| 20150234636 | Barnes, Jr. | Aug 2015 | A1 |
| 20150234800 | Patrick et al. | Aug 2015 | A1 |
| 20150242091 | Lu et al. | Aug 2015 | A1 |
| 20150243278 | Kibre et al. | Aug 2015 | A1 |
| 20150243283 | Halash et al. | Aug 2015 | A1 |
| 20150245154 | Dadu et al. | Aug 2015 | A1 |
| 20150248651 | Akutagawa et al. | Sep 2015 | A1 |
| 20150248886 | Sarikaya et al. | Sep 2015 | A1 |
| 20150253885 | Kagan | Sep 2015 | A1 |
| 20150254057 | Klein et al. | Sep 2015 | A1 |
| 20150254058 | Klein et al. | Sep 2015 | A1 |
| 20150254333 | Fife et al. | Sep 2015 | A1 |
| 20150255071 | Chiba | Sep 2015 | A1 |
| 20150256873 | Klein et al. | Sep 2015 | A1 |
| 20150261496 | Faaborg et al. | Sep 2015 | A1 |
| 20150269139 | McAteer et al. | Sep 2015 | A1 |
| 20150277574 | Jain et al. | Oct 2015 | A1 |
| 20150278370 | Stratvert | Oct 2015 | A1 |
| 20150279358 | Kingsbury et al. | Oct 2015 | A1 |
| 20150279360 | Mengibar et al. | Oct 2015 | A1 |
| 20150281380 | Wang et al. | Oct 2015 | A1 |
| 20150286627 | Chang et al. | Oct 2015 | A1 |
| 20150287401 | Lee et al. | Oct 2015 | A1 |
| 20150287409 | Jang | Oct 2015 | A1 |
| 20150288629 | Choi et al. | Oct 2015 | A1 |
| 20150294516 | Chiang | Oct 2015 | A1 |
| 20150302855 | Kim et al. | Oct 2015 | A1 |
| 20150302857 | Yamada | Oct 2015 | A1 |
| 20150309997 | Lee et al. | Oct 2015 | A1 |
| 20150310858 | Li et al. | Oct 2015 | A1 |
| 20150310862 | Dauphin et al. | Oct 2015 | A1 |
| 20150310879 | Buchanan et al. | Oct 2015 | A1 |
| 20150312182 | Langholz | Oct 2015 | A1 |
| 20150317069 | Clements et al. | Nov 2015 | A1 |
| 20150317310 | Eiche et al. | Nov 2015 | A1 |
| 20150324041 | Varley et al. | Nov 2015 | A1 |
| 20150324334 | Lee et al. | Nov 2015 | A1 |
| 20150331664 | Osawa et al. | Nov 2015 | A1 |
| 20150331711 | Huang et al. | Nov 2015 | A1 |
| 20150332667 | Mason | Nov 2015 | A1 |
| 20150339049 | Kasemset et al. | Nov 2015 | A1 |
| 20150339391 | Kang et al. | Nov 2015 | A1 |
| 20150340040 | Mun et al. | Nov 2015 | A1 |
| 20150340042 | Sejnoha et al. | Nov 2015 | A1 |
| 20150341717 | Song et al. | Nov 2015 | A1 |
| 20150347086 | Liedholm et al. | Dec 2015 | A1 |
| 20150347382 | Dolfing et al. | Dec 2015 | A1 |
| 20150347385 | Flor et al. | Dec 2015 | A1 |
| 20150347393 | Futrell et al. | Dec 2015 | A1 |
| 20150347733 | Tsou et al. | Dec 2015 | A1 |
| 20150347985 | Gross et al. | Dec 2015 | A1 |
| 20150348547 | Paulik et al. | Dec 2015 | A1 |
| 20150348548 | Piernot et al. | Dec 2015 | A1 |
| 20150348549 | Giuli et al. | Dec 2015 | A1 |
| 20150348551 | Gruber et al. | Dec 2015 | A1 |
| 20150348554 | Orr et al. | Dec 2015 | A1 |
| 20150350031 | Burks et al. | Dec 2015 | A1 |
| 20150355879 | Beckhardt et al. | Dec 2015 | A1 |
| 20150370531 | Faaborg | Dec 2015 | A1 |
| 20150370780 | Wang et al. | Dec 2015 | A1 |
| 20150371639 | Foerster et al. | Dec 2015 | A1 |
| 20150371665 | Naik et al. | Dec 2015 | A1 |
| 20150373183 | Woolsey et al. | Dec 2015 | A1 |
| 20150382047 | Van Os | Dec 2015 | A1 |
| 20150382079 | Lister et al. | Dec 2015 | A1 |
| 20160014476 | Caliendo, Jr. et al. | Jan 2016 | A1 |
| 20160019886 | Hong | Jan 2016 | A1 |
| 20160026258 | Ou et al. | Jan 2016 | A1 |
| 20160027431 | Kurzweil et al. | Jan 2016 | A1 |
| 20160028666 | Li | Jan 2016 | A1 |
| 20160034811 | Paulik et al. | Feb 2016 | A1 |
| 20160042735 | Vibbert et al. | Feb 2016 | A1 |
| 20160042748 | Jain et al. | Feb 2016 | A1 |
| 20160050254 | Rao | Feb 2016 | A1 |
| 20160055422 | Li | Feb 2016 | A1 |
| 20160063998 | Krishnamoorthy et al. | Mar 2016 | A1 |
| 20160065626 | Jain | Mar 2016 | A1 |
| 20160071521 | Haughay | Mar 2016 | A1 |
| 20160077794 | Kim et al. | Mar 2016 | A1 |
| 20160080165 | Ehsani et al. | Mar 2016 | A1 |
| 20160086116 | Rao et al. | Mar 2016 | A1 |
| 20160091967 | Prokofieva et al. | Mar 2016 | A1 |
| 20160092447 | Venkataraman et al. | Mar 2016 | A1 |
| 20160093291 | Kim | Mar 2016 | A1 |
| 20160093298 | Naik et al. | Mar 2016 | A1 |
| 20160093301 | Bellegarda et al. | Mar 2016 | A1 |
| 20160093304 | Kim et al. | Mar 2016 | A1 |
| 20160094979 | Naik et al. | Mar 2016 | A1 |
| 20160117386 | Ajmera et al. | Apr 2016 | A1 |
| 20160119338 | Cheyer | Apr 2016 | A1 |
| 20160125048 | Hamada | May 2016 | A1 |
| 20160125071 | Gabbai | May 2016 | A1 |
| 20160139662 | Dabhade | May 2016 | A1 |
| 20160147725 | Patten et al. | May 2016 | A1 |
| 20160148610 | Kennewick, Jr. et al. | May 2016 | A1 |
| 20160148612 | Guo et al. | May 2016 | A1 |
| 20160155442 | Kannan et al. | Jun 2016 | A1 |
| 20160155443 | Khan et al. | Jun 2016 | A1 |
| 20160162456 | Munro et al. | Jun 2016 | A1 |
| 20160163312 | Naik et al. | Jun 2016 | A1 |
| 20160170966 | Kolo | Jun 2016 | A1 |
| 20160173960 | Snibbe et al. | Jun 2016 | A1 |
| 20160179462 | Bjorkengren | Jun 2016 | A1 |
| 20160179464 | Reddy et al. | Jun 2016 | A1 |
| 20160180844 | Vanblon et al. | Jun 2016 | A1 |
| 20160182410 | Janakiraman et al. | Jun 2016 | A1 |
| 20160188181 | Smith | Jun 2016 | A1 |
| 20160188738 | Gruber et al. | Jun 2016 | A1 |
| 20160189717 | Kannan et al. | Jun 2016 | A1 |
| 20160203002 | Kannan et al. | Jul 2016 | A1 |
| 20160212208 | Kulkarni | Jul 2016 | A1 |
| 20160212488 | Os et al. | Jul 2016 | A1 |
| 20160217784 | Gelfenbeyn et al. | Jul 2016 | A1 |
| 20160224540 | Stewart et al. | Aug 2016 | A1 |
| 20160225372 | Cheung et al. | Aug 2016 | A1 |
| 20160240187 | Fleizach et al. | Aug 2016 | A1 |
| 20160247061 | Trask et al. | Aug 2016 | A1 |
| 20160253312 | Rhodes | Sep 2016 | A1 |
| 20160259656 | Sumner | Sep 2016 | A1 |
| 20160260431 | Newendorp et al. | Sep 2016 | A1 |
| 20160260433 | Sumner et al. | Sep 2016 | A1 |
| 20160260436 | Lemay et al. | Sep 2016 | A1 |
| 20160266871 | Schmid et al. | Sep 2016 | A1 |
| 20160267904 | Biadsy et al. | Sep 2016 | A1 |
| 20160275941 | Bellegarda et al. | Sep 2016 | A1 |
| 20160275947 | Li et al. | Sep 2016 | A1 |
| 20160282956 | Ouyang et al. | Sep 2016 | A1 |
| 20160299685 | Zhai et al. | Oct 2016 | A1 |
| 20160299882 | Hegerty et al. | Oct 2016 | A1 |
| 20160299883 | Zhu et al. | Oct 2016 | A1 |
| 20160307566 | Bellegarda | Oct 2016 | A1 |
| 20160314788 | Jitkoff et al. | Oct 2016 | A1 |
| 20160314792 | Alvarez et al. | Oct 2016 | A1 |
| 20160321261 | Spasojevic et al. | Nov 2016 | A1 |
| 20160322050 | Wang et al. | Nov 2016 | A1 |
| 20160336007 | Hanazawa | Nov 2016 | A1 |
| 20160336010 | Lindahl | Nov 2016 | A1 |
| 20160337299 | Lane et al. | Nov 2016 | A1 |
| 20160337301 | Rollins et al. | Nov 2016 | A1 |
| 20160351190 | Binder et al. | Dec 2016 | A1 |
| 20160357304 | Hatori et al. | Dec 2016 | A1 |
| 20160357728 | Bellegarda et al. | Dec 2016 | A1 |
| 20160357861 | Carlhian et al. | Dec 2016 | A1 |
| 20160358598 | Williams et al. | Dec 2016 | A1 |
| 20160358600 | Nallasamy et al. | Dec 2016 | A1 |
| 20160359771 | Sridhar | Dec 2016 | A1 |
| 20160360039 | Sanghavi et al. | Dec 2016 | A1 |
| 20160371250 | Rhodes | Dec 2016 | A1 |
| 20160378747 | Orr et al. | Dec 2016 | A1 |
| 20160379641 | Liu et al. | Dec 2016 | A1 |
| 20170004824 | Yoo et al. | Jan 2017 | A1 |
| 20170031576 | Saoji et al. | Feb 2017 | A1 |
| 20170068423 | Napolitano | Mar 2017 | A1 |
| 20170068513 | Stasior et al. | Mar 2017 | A1 |
| 20170068670 | Orr et al. | Mar 2017 | A1 |
| 20170083179 | Gruber et al. | Mar 2017 | A1 |
| 20170091168 | Bellegarda et al. | Mar 2017 | A1 |
| 20170092270 | Newendorp et al. | Mar 2017 | A1 |
| 20170092278 | Evermann et al. | Mar 2017 | A1 |
| 20170116989 | Yadgar et al. | Apr 2017 | A1 |
| 20170132019 | Karashchuk | May 2017 | A1 |
| 20170161018 | Lemay et al. | Jun 2017 | A1 |
| 20170161393 | Oh | Jun 2017 | A1 |
| 20170169819 | Mese et al. | Jun 2017 | A1 |
| 20170178626 | Gruber et al. | Jun 2017 | A1 |
| 20170180499 | Gelfenbeyn et al. | Jun 2017 | A1 |
| 20170185375 | Martel | Jun 2017 | A1 |
| 20170186429 | Giuli et al. | Jun 2017 | A1 |
| 20170193083 | Bhatt et al. | Jul 2017 | A1 |
| 20170195495 | Deora et al. | Jul 2017 | A1 |
| 20170230709 | Van Os et al. | Aug 2017 | A1 |
| 20170242653 | Lang et al. | Aug 2017 | A1 |
| 20170249309 | Sarikaya | Aug 2017 | A1 |
| 20170256256 | Wang et al. | Sep 2017 | A1 |
| 20170263248 | Gruber et al. | Sep 2017 | A1 |
| 20170285915 | Napolitano et al. | Oct 2017 | A1 |
| 20170329466 | Krenkler | Nov 2017 | A1 |
| 20170329630 | Jann | Nov 2017 | A1 |
| 20170345411 | Raitio et al. | Nov 2017 | A1 |
| 20170357632 | Pagallo et al. | Dec 2017 | A1 |
| 20170357716 | Bellegarda et al. | Dec 2017 | A1 |
| 20170358301 | Raitio et al. | Dec 2017 | A1 |
| 20170358303 | Walker, II | Dec 2017 | A1 |
| 20170358304 | Castillo et al. | Dec 2017 | A1 |
| 20170358305 | Kudurshian et al. | Dec 2017 | A1 |
| 20180024985 | Asano | Jan 2018 | A1 |
| 20180143967 | Anbazhagan | May 2018 | A1 |
| 20190103112 | Walker et al. | Apr 2019 | A1 |
| 20200042334 | Radebaugh et al. | Feb 2020 | A1 |
| 20200143812 | Walker et al. | May 2020 | A1 |
| Number | Date | Country |
|---|---|---|
| 2694314 | Aug 2010 | CA |
| 2792412 | Jul 2011 | CA |
| 2666438 | Jun 2013 | CA |
| 104584010 | Jan 4201 | CN |
| 101162153 | Apr 2008 | CN |
| 101179754 | May 2008 | CN |
| 101183525 | May 2008 | CN |
| 101188644 | May 2008 | CN |
| 101228503 | Jul 2008 | CN |
| 101233741 | Jul 2008 | CN |
| 101246020 | Aug 2008 | CN |
| 101271689 | Sep 2008 | CN |
| 101277501 | Oct 2008 | CN |
| 101297541 | Oct 2008 | CN |
| 101325756 | Dec 2008 | CN |
| 101416471 | Apr 2009 | CN |
| 101427244 | May 2009 | CN |
| 101448340 | Jun 2009 | CN |
| 101453498 | Jun 2009 | CN |
| 101499156 | Aug 2009 | CN |
| 101535983 | Sep 2009 | CN |
| 101557432 | Oct 2009 | CN |
| 101632316 | Jan 2010 | CN |
| 101636736 | Jan 2010 | CN |
| 101673544 | Mar 2010 | CN |
| 101751387 | Jun 2010 | CN |
| 101847405 | Sep 2010 | CN |
| 101894547 | Nov 2010 | CN |
| 101939740 | Jan 2011 | CN |
| 101951553 | Jan 2011 | CN |
| 102137085 | Jul 2011 | CN |
| 102137193 | Jul 2011 | CN |
| 102160043 | Aug 2011 | CN |
| 102246136 | Nov 2011 | CN |
| 202035047 | Nov 2011 | CN |
| 202092650 | Dec 2011 | CN |
| 102368256 | Mar 2012 | CN |
| 102682771 | Sep 2012 | CN |
| 102685295 | Sep 2012 | CN |
| 102693725 | Sep 2012 | CN |
| 102792320 | Nov 2012 | CN |
| 102917004 | Feb 2013 | CN |
| 103035240 | Apr 2013 | CN |
| 103135916 | Jun 2013 | CN |
| 103268315 | Aug 2013 | CN |
| 103744761 | Apr 2014 | CN |
| 104335234 | Feb 2015 | CN |
| 104423625 | Mar 2015 | CN |
| 104867492 | Aug 2015 | CN |
| 105093526 | Nov 2015 | CN |
| 105247511 | Jan 2016 | CN |
| 105264524 | Jan 2016 | CN |
| 105379234 | Mar 2016 | CN |
| 102008024258 | Nov 2009 | DE |
| 1892700 | Feb 2008 | EP |
| 1912205 | Apr 2008 | EP |
| 1939860 | Jul 2008 | EP |
| 1944997 | Jul 2008 | EP |
| 651543 | Sep 2008 | EP |
| 1909263 | Jan 2009 | EP |
| 1335620 | Mar 2009 | EP |
| 2069895 | Jun 2009 | EP |
| 2094032 | Aug 2009 | EP |
| 2096840 | Sep 2009 | EP |
| 2107553 | Oct 2009 | EP |
| 2109295 | Oct 2009 | EP |
| 1720375 | Jul 2010 | EP |
| 2205010 | Jul 2010 | EP |
| 2309491 | Apr 2011 | EP |
| 2329348 | Jun 2011 | EP |
| 2400373 | Dec 2011 | EP |
| 2431842 | Mar 2012 | EP |
| 2551784 | Jan 2013 | EP |
| 2555536 | Feb 2013 | EP |
| 2575128 | Apr 2013 | EP |
| 2733598 | May 2014 | EP |
| 2801890 | Nov 2014 | EP |
| 2801972 | Nov 2014 | EP |
| 2930715 | Oct 2015 | EP |
| 2938022 | Oct 2015 | EP |
| 2940556 | Nov 2015 | EP |
| 2911201 | Jul 2008 | FR |
| 2445436 | Jul 2008 | GB |
| 2445667 | Jul 2008 | GB |
| 2001-216130 | Aug 2001 | JP |
| 2008-009120 | Jan 2008 | JP |
| 2008-21002 | Jan 2008 | JP |
| 2008-26381 | Feb 2008 | JP |
| 2008-39928 | Feb 2008 | JP |
| 2008-58813 | Mar 2008 | JP |
| 2008-064687 | Mar 2008 | JP |
| 2008-90545 | Apr 2008 | JP |
| 2008-97003 | Apr 2008 | JP |
| 2008-134949 | Jun 2008 | JP |
| 2008-526101 | Jul 2008 | JP |
| 2008-185693 | Aug 2008 | JP |
| 2008-198022 | Aug 2008 | JP |
| 2008-217468 | Sep 2008 | JP |
| 2008-228129 | Sep 2008 | JP |
| 2008-233678 | Oct 2008 | JP |
| 2008-236448 | Oct 2008 | JP |
| 2008-252161 | Oct 2008 | JP |
| 2008-268684 | Nov 2008 | JP |
| 2008-269480 | Nov 2008 | JP |
| 2008-271481 | Nov 2008 | JP |
| 2008-275731 | Nov 2008 | JP |
| 2008-299221 | Dec 2008 | JP |
| 2009-503623 | Jan 2009 | JP |
| 2009-36999 | Feb 2009 | JP |
| 2009-47920 | Mar 2009 | JP |
| 2009-069062 | Apr 2009 | JP |
| 2009-98490 | May 2009 | JP |
| 2009-140444 | Jun 2009 | JP |
| 2009-186989 | Aug 2009 | JP |
| 2009-193448 | Aug 2009 | JP |
| 2009-193457 | Aug 2009 | JP |
| 2009-193532 | Aug 2009 | JP |
| 2009-205367 | Sep 2009 | JP |
| 2009-223840 | Oct 2009 | JP |
| 2009-294913 | Dec 2009 | JP |
| 2009-294946 | Dec 2009 | JP |
| 2010-66519 | Mar 2010 | JP |
| 2010-78979 | Apr 2010 | JP |
| 2010-108378 | May 2010 | JP |
| 2010-518526 | May 2010 | JP |
| 2010-157207 | Jul 2010 | JP |
| 2010-224236 | Oct 2010 | JP |
| 4563106 | Oct 2010 | JP |
| 2010-535377 | Nov 2010 | JP |
| 2010-287063 | Dec 2010 | JP |
| 2011-33874 | Feb 2011 | JP |
| 2011-41026 | Feb 2011 | JP |
| 2011-45005 | Mar 2011 | JP |
| 2011-59659 | Mar 2011 | JP |
| 2011-81541 | Apr 2011 | JP |
| 2011-525045 | Sep 2011 | JP |
| 2011-238022 | Nov 2011 | JP |
| 2012-014394 | Jan 2012 | JP |
| 2012-089020 | May 2012 | JP |
| 2012-116442 | Jun 2012 | JP |
| 2012-147063 | Aug 2012 | JP |
| 2012-518847 | Aug 2012 | JP |
| 2013-511214 | Mar 2013 | JP |
| 2013-73240 | Apr 2013 | JP |
| 2013-513315 | Apr 2013 | JP |
| 2013-080476 | May 2013 | JP |
| 2013-517566 | May 2013 | JP |
| 2013-134430 | Jul 2013 | JP |
| 2013-527947 | Jul 2013 | JP |
| 2013-156349 | Aug 2013 | JP |
| 2013-205999 | Oct 2013 | JP |
| 2013-238936 | Nov 2013 | JP |
| 2014-10688 | Jan 2014 | JP |
| 2014-026629 | Feb 2014 | JP |
| 2014-72586 | Apr 2014 | JP |
| 2014-077969 | May 2014 | JP |
| 2014-145842 | Aug 2014 | JP |
| 2014-150323 | Aug 2014 | JP |
| 2014-191272 | Oct 2014 | JP |
| 2014-222514 | Nov 2014 | JP |
| 2015-41845 | Mar 2015 | JP |
| 2015-528140 | Sep 2015 | JP |
| 2016-151928 | Aug 2016 | JP |
| 10-0801227 | Feb 2008 | KR |
| 10-0810500 | Mar 2008 | KR |
| 10-2008-0033070 | Apr 2008 | KR |
| 10-0819928 | Apr 2008 | KR |
| 10-2008-0049647 | Jun 2008 | KR |
| 10-2008-0059332 | Jun 2008 | KR |
| 10-2008-0109322 | Dec 2008 | KR |
| 10-2009-0001716 | Jan 2009 | KR |
| 10-2009-0028464 | Mar 2009 | KR |
| 10-2009-0030117 | Mar 2009 | KR |
| 10-2009-0086805 | Aug 2009 | KR |
| 10-0920267 | Oct 2009 | KR |
| 10-2009-0122944 | Dec 2009 | KR |
| 10-2009-0127961 | Dec 2009 | KR |
| 10-2009-0129192 | Dec 2009 | KR |
| 10-2010-0015958 | Feb 2010 | KR |
| 10-2010-0048571 | May 2010 | KR |
| 10-2010-0053149 | May 2010 | KR |
| 10-2010-0119519 | Nov 2010 | KR |
| 10-2011-0043644 | Apr 2011 | KR |
| 10-1032792 | May 2011 | KR |
| 10-2011-0068490 | Jun 2011 | KR |
| 10-2011-0072847 | Jun 2011 | KR |
| 10-2011-0086492 | Jul 2011 | KR |
| 10-2011-0100620 | Sep 2011 | KR |
| 10-2011-0113414 | Oct 2011 | KR |
| 10-2011-0115134 | Oct 2011 | KR |
| 10-2012-0020164 | Mar 2012 | KR |
| 10-2012-0031722 | Apr 2012 | KR |
| 10-1178310 | Aug 2012 | KR |
| 10-2012-0120316 | Nov 2012 | KR |
| 10-2012-0137435 | Dec 2012 | KR |
| 10-2012-0137440 | Dec 2012 | KR |
| 10-2012-0138826 | Dec 2012 | KR |
| 10-2012-0139827 | Dec 2012 | KR |
| 10-1193668 | Dec 2012 | KR |
| 10-2013-0035983 | Apr 2013 | KR |
| 10-1334342 | Nov 2013 | KR |
| 10-2013-0131252 | Dec 2013 | KR |
| 20140059697 | May 2014 | KR |
| 10-2015-0013631 | Feb 2015 | KR |
| 10-2015-0131262 | Nov 2015 | KR |
| 10-2016-0140694 | Dec 2016 | KR |
| 2349970 | Mar 2009 | RU |
| 2353068 | Apr 2009 | RU |
| 2364917 | Aug 2009 | RU |
| 200801988 | Jan 2008 | TW |
| I301373 | Sep 2008 | TW |
| M348993 | Jan 2009 | TW |
| 200943903 | Oct 2009 | TW |
| 201018258 | May 2010 | TW |
| 201027515 | Jul 2010 | TW |
| 201028996 | Aug 2010 | TW |
| 201110108 | Mar 2011 | TW |
| 2011-42823 | Dec 2011 | TW |
| 201227715 | Jul 2012 | TW |
| 201245989 | Nov 2012 | TW |
| 201312548 | Mar 2013 | TW |
| 2008030970 | Mar 2008 | WO |
| 2008071231 | Jun 2008 | WO |
| 2008085742 | Jul 2008 | WO |
| 2008098900 | Aug 2008 | WO |
| 2008109835 | Aug 2008 | WO |
| 2008120036 | Oct 2008 | WO |
| 2008130095 | Oct 2008 | WO |
| 2008140236 | Nov 2008 | WO |
| 2008142472 | Nov 2008 | WO |
| 2008153639 | Dec 2008 | WO |
| 2009009240 | Jan 2009 | WO |
| 2009016631 | Feb 2009 | WO |
| 2009017280 | Feb 2009 | WO |
| 2009075912 | Jun 2009 | WO |
| 2009104126 | Aug 2009 | WO |
| 2009156438 | Dec 2009 | WO |
| 2009156978 | Dec 2009 | WO |
| 2010054373 | May 2010 | WO |
| 2010075623 | Jul 2010 | WO |
| 2010100937 | Sep 2010 | WO |
| 2010141802 | Dec 2010 | WO |
| 2011057346 | May 2011 | WO |
| 2011060106 | May 2011 | WO |
| 2011088053 | Jul 2011 | WO |
| 2011093025 | Aug 2011 | WO |
| 2011116309 | Sep 2011 | WO |
| 2011133543 | Oct 2011 | WO |
| 2011150730 | Dec 2011 | WO |
| 2011163350 | Dec 2011 | WO |
| 2011088053 | Jan 2012 | WO |
| 2012019637 | Feb 2012 | WO |
| 2012129231 | Sep 2012 | WO |
| 2012135157 | Oct 2012 | WO |
| 2012154317 | Nov 2012 | WO |
| 2012155079 | Nov 2012 | WO |
| 2012167168 | Dec 2012 | WO |
| 2013009578 | Jan 2013 | WO |
| 2013022135 | Feb 2013 | WO |
| 2013048880 | Apr 2013 | WO |
| 2013049358 | Apr 2013 | WO |
| 2013169842 | Nov 2013 | WO |
| 2013173504 | Nov 2013 | WO |
| 2013173511 | Nov 2013 | WO |
| 2013184953 | Dec 2013 | WO |
| 2013184990 | Dec 2013 | WO |
| 2014003138 | Jan 2014 | WO |
| 2014022148 | Feb 2014 | WO |
| 2014028797 | Feb 2014 | WO |
| 2014031505 | Feb 2014 | WO |
| 2014047047 | Mar 2014 | WO |
| 2014066352 | May 2014 | WO |
| 2014078965 | May 2014 | WO |
| 2014096506 | Jun 2014 | WO |
| 2014138604 | Sep 2014 | WO |
| 2014143959 | Sep 2014 | WO |
| 2014144579 | Sep 2014 | WO |
| 2014149473 | Sep 2014 | WO |
| 2014159581 | Oct 2014 | WO |
| 2014197336 | Dec 2014 | WO |
| 2014197635 | Dec 2014 | WO |
| 2014197730 | Dec 2014 | WO |
| 2014200728 | Dec 2014 | WO |
| 2014204659 | Dec 2014 | WO |
| 2015030796 | Mar 2015 | WO |
| 2015041892 | Mar 2015 | WO |
| 2015084659 | Jun 2015 | WO |
| 2015094169 | Jun 2015 | WO |
| 2015094369 | Jun 2015 | WO |
| 2015099939 | Jul 2015 | WO |
| 2015116151 | Aug 2015 | WO |
| 2015151133 | Oct 2015 | WO |
| 2015153310 | Oct 2015 | WO |
| 2015183401 | Dec 2015 | WO |
| 2015200207 | Dec 2015 | WO |
| 2016057268 | Apr 2016 | WO |
| 2016075081 | May 2016 | WO |
| 2017044629 | Mar 2017 | WO |
| 2017053311 | Mar 2017 | WO |
| Entry |
|---|
| Office Action received for Japanese Patent Application No. 2018-001371, dated Nov. 19, 2018, 6 pages (2 pages of English Translation and 4 pages of Official copy). |
| “Alexa, Turn Up the Heat!”, Smartthings Samsung [online], Available online at https://web.archive.org/web/20160329142041/https://blog.smartthings.com/news/smartthingsupdates/alexa-turn-up-the-heat/, Mar. 3, 2016, 3 pages. |
| “DIRECTV™ Voice”, Now Part of the DIRECTTV Mobile App for Phones, Sep. 18, 2013, 5 pages. |
| “SmartThings +Amazon Echo”, Smartthings Samsung [online], Available online at <https://web.archive.org/web/20160509231428/https://blog.smartthings.com/featured/alexa-turn-on-my-smartthings/>, Aug. 21, 2015, 3 pages. |
| “Ask Alexa—Things That Are Smart Wiki”, Available online at <URL:http://thingsthataresmart.wiki/index.php?title=Ask_Alexa&oldid=4283>, [retrieved from internet on Aug. 2, 2017], Jun. 8, 2016, pp. 1-31. |
| “The world of Virtual Assistants—more SemTech . . . ”, End of Business as Usual—Glenn's External blog, Online Available at <https://web.archive.org/web/20091101840940/http://glennas.wordpress.com/2009/10/17/the-world-of-virtual-assistants-more-semtech/>, Oct. 17, 2009, 5 pages. |
| Adium, “AboutAdium—Adium X—Trac”, available at <http://web.archive.org/web/20070819113247/http://trac.adiumx.com/wiki/AboutAdium>, retrieved on Nov. 25, 2011, 2 pages. |
| Alfred App, “Alfred”, available at <http://www.alfredapp.com/>, retrieved on Feb. 8, 2012, 5 pages. |
| Anania, Peter, “Amazon Echo with Home Automation (Smartthings)”, Available online at https://www.youtube.com/watch?v=LMW6aXmsWNE, Dec. 20, 2015, 1 page. |
| API.AI, “Android App Review—Speaktoit Assistant”, Available at <https://www.youtube.com/watch?v=myE498nyfGw>, Mar. 30, 2011, 3 pages. |
| Apple Computer, “Knowledge Navigator”, published by Apple Computer no later than 2008, as depicted in Exemplary Screenshots from video entitled ‘Knowledge Navigator’, 2008, 7 pages. |
| Apple, “VoiceOver”, available at <http://www.apple.com/accessibility/voiceover/>, Feb. 2009, 5 pages. |
| Asakura et al., “What LG thinks; How the TV should be in the Living Room”, HiVi, vol. 31, No. 7 (Jul. 2013), Stereo Sound Publishing, Inc., Jun. 17, 2013, pp. 68-71 (Official Copy Only). (See Communication under 37 CFR § 1.98(a) (3)). |
| Berry et al., “PTIME: Personalized Assistance for Calendaring”, ACM Transactions on Intelligent Systems and Technology, vol. 2, No. 4, Article 40, Jul. 2011, pp. 1-22. |
| Bertulucci, Jeff, “Google Adds Voice Search to Chrome Browser”, PC World, Jun. 14, 2011, 5 pages. |
| Bocchieri et al., “Use of Geographical Meta-Data in ASR Language and Acoustic Models”, IEEE International Conference on Acoustics Speech and Signal Processing, 2010, pp. 5118-5121. |
| Butcher, Mike, “EVI Arrives in Town to go Toe-to-Toe with Siri”, TechCrunch, Jan. 23, 2012, 2 pages. |
| Caraballo et al., “Language Identification Based on a Discriminative Text Categorization Technique”, Iberspeech 2012—Vii Jornadas En Tecnologia Del Habla and Iii Iberiansl Tech Workshop, Nov. 21, 2012, pp. 1-10. |
| Castleos, “Whole House Voice Control Demonstration”, available online at : https://www.youtube.com/watch?v=9SRCoxrZ_W4, Jun. 2, 2012, 26 pages. |
| Chamberlain, Kim, “Quick Start Guide Natural Reader”, available online at <http://atrc.colostate.edu/files/quickstarts/Natural_Reader_Quick_Start_Guide.>, Apr. 2008, 5 pages. |
| Chen, Yi, “Multimedia Siri Finds and Plays Whatever You Ask for”, PSFK Report, Feb. 9, 2012, 9 pages. |
| Cheyer, Adam, “About Adam Cheyer”, available at <http://www.adam.cheyer.com/about.html>, retrieved on Sep. 17, 2012, 2 pages. |
| Choi et al., “Acoustic and Visual Signal based Context Awareness System for Mobile Application”, IEEE Transactions on Consumer Electronics, vol. 57, No. 2, May 2011, pp. 738-746. |
| Colt, Sam, “Here's One Way Apple's Smartwatch Could Be Better Than Anything Else”, Business Insider, Aug. 21, 2014, pp. 1-4. |
| Combined Search Report and Examination Report under Sections 17 and 18(3) received for GB Patent Application No. 1009318.5, dated Oct. 8, 2010, 5 pages. |
| Combined Search Report and Examination Report under Sections 17 and 18(3) received for GB Patent Application No. 1217449.6, dated Jan. 17, 2013, 6 pages. |
| Deedeevuu, “Amazon Echo Alarm Feature”, Available online at https://www.youtube.com/watch?v=fdjU8eRLk7c, Feb. 16, 2015, 1 page. |
| Elliott et al., “Annotation Suggestion and Search for Personal Multimedia Objects on the Web”, CIVR, Jul. 7-9, 2008, pp. 75-84. |
| Erol et al., “Multimedia Clip Generation From Documents for Browsing on Mobile Devices”, IEEE Transactions on Multimedia, vol. 10, No. 5, Aug. 2008, 13 pages. |
| Evi, “Meet Evi: The One Mobile Application that Provides Solutions for your Everyday Problems”, Feb. 2012, 3 pages. |
| Exhibit 1, “Natural Language Interface Using Constrained Intermediate Dictionary of Results”, List of Publications Manually Reviewed for the Search of U.S. Pat. No. 7,177,798, Mar. 22, 2013, 1 page. |
| Extended European Search Report (includes European Search Report and European Search Opinion) received for European Patent Application No. 12186113.2, dated Apr. 28, 2014, 14 pages. |
| Extended European Search Report (includes Partial European Search Report and European Search Opinion) received for European Patent Application No. 13169672.6, dated Aug. 14, 2013, 11 pages. |
| Extended European Search Report (includes Partial European Search Report and European Search Opinion) received for European Patent Application No. 15169349.6, dated Jul. 28, 2015, 8 pages. |
| Extended European Search Report (includes Partial European Search Report and European Search Opinion) received for European Patent Application No. 15196748.6, dated Apr. 4, 2016. |
| Extended European Search Report (includes Partial European Search Report and European Search Opinion) received for European Patent Application No. 16150079.8, dated Feb. 18, 2016, 7 pages. |
| Extended European Search Report (includes Supplementary European Search Report and Search Opinion) received for European Patent Application No. 07863218.9, dated Dec. 9, 2010, 7 pages. |
| Extended European Search Report (includes Supplementary European Search Report and Search Opinion) received for European Patent Application No. 12727027.0, dated Sep. 26, 2014, 7 pages. |
| Extended European Search Report (inclusive of the Partial European Search Report and European Search Opinion) received for European Patent Application No. 12729332.2, dated Oct. 31, 2014, 6 pages. |
| Extended European Search Report and Search Opinion received for European Patent Application No. 12185276.8, dated Dec. 18, 2012, 4 pages. |
| Extended European Search Report received for European Patent Application No. 11159884.3, dated May 20, 2011, 8 pages. |
| Extended European Search Report received for European Patent Application No. 11707939.2, dated Nov. 18, 2016, 13 pages. |
| Extended European Search Report received for European Patent Application No. 12186663.6, dated Jul. 16, 2013, 6 pages. |
| Extended European Search Report received for European Patent Application No. 13726938.7, dated Dec. 14, 2015, 8 pages. |
| Extended European Search Report received for European Patent Application No. 13770552.1, dated Jan. 7, 2016, 5 pages. |
| Extended European Search Report received for European Patent Application No. 14719914.5, dated Oct. 10, 2016, 7 pages. |
| Extended European Search Report received for European Patent Application No. 14737370.8, dated May 19, 2016, 12 pages. |
| Extended European Search Report received for European Patent Application No. 16186308.9, dated Jan. 16, 2017, 9 pages. |
| Extended European Search Report received for European Patent Application No. 16188272.5, dated Nov. 18, 2016, 12 pages. |
| Extended European Search Report received for European Patent Application No. 16195814.5, dated Jul. 5, 2017, 13 pages. |
| Extended European Search Report received for European Patent Application No. 16198245.9, dated Feb. 22, 2017, 13 pages. |
| Extended European Search Report received for European Patent Application No. 16762361.0, dated Dec. 7, 2017, 9 pages. |
| Extended European Search Report received for European Patent Application No. 17173710.9, dated Oct. 4, 2017, 8 pages. |
| Extended Search Report received for European Patent Application No. 16188055.4, dated Dec. 22, 2016, 8 pages. |
| Filipowicz, Luke, “How to use the Quick Type Keyboard in iOS 8”, available online at <https://www.imore.com/comment/568232>, Oct. 11, 2014, pp. 1-17. |
| Findlater et al., “Beyond QWERTY: Augmenting Touch-Screen Keyboards with Multi-Touch Gestures for Non-Alphanumeric Input”, CHI '12, Austin, Texas, USA, May 5-10, 2012, 4 pages. |
| Finkel et al., “Joint Parsing and Named Entity Recognition”, Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the ACL, Jun. 2009, pp. 326-334. |
| Gannes, Liz, “Alfred App Gives Personalized Restaurant Recommendations”, AllThingsD, Jul. 18, 2011, pp. 1-3. |
| Gomez et al., “Mouth Gesture and Voice Command Based Robot Command Interface”, IEEE International Conference on Robotics and Automation, May 12-17, 2009, pp. 333-338. |
| Gruber, Thomas R., et al., U.S. Appl. No. 61/186,414, filed Jun. 12, 2009 titled “System and Method for Semantic Auto-Completion” 13 pages. |
| Gruber, Thomas R., et al., U.S. Appl. No. 61/493,201, filed Jun. 3, 2011 titled “Generating and Processing Data Items That Represent Tasks to Perform”, 68 pages. |
| Gruber, Thomas R., et al., U.S Unpublished/U.S. Appl. No. 61/657,744, filed Jun. 9, 2012 titled “Automatically Adapting User Interfaces for Hands-Free Interaction”, 40 pages. |
| Gruber, Tom, “Big Think Small Screen: How Semantic Computing in the Cloud will Revolutionize the Consumer Experience on the Phone”, Keynote Presentation at Web 3.0 Conference, Jan. 2010, 41 pages. |
| Gruber, Tom, “Despite Our Best Efforts, Ontologies are not the Problem”, AAAI Spring Symposium, Available online at <http://tomgruber.org/writing/aaai-ss08.htm>, Mar. 2008, pp. 1-40. |
| Gruber, Tom, “Intelligence at the Interface: Semantic Technology and the Consumer Internet Experience”, Presentation at Semantic Technologies Conference, Available online at <http://tomgruber.org/writing/semtech08.htm>, May 20, 2008, pp. 1-40. |
| Gruber, Tom, “Siri, A Virtual Personal Assistant-Bringing Intelligence to the Interface”, Semantic Technologies Conference, Jun. 16, 2009, 21 pages. |
| Guay, Matthew, “Location-Driven Productivity with Task Ave”, available at <http://iphone.appstorm.net/reviews/productivity/location-driven-productivity-with-task-ave/>, Feb. 19, 2011, 7 pages. |
| Guim, Mark, “How to Set a Person-Based Reminder with Cortana”, available at <http://www.wpcentral.com/how-to-person-based-reminder-cortana>, Apr. 26, 2014, 15 pages. |
| Hardwar, Devindra, “Driving App Waze Builds its own Siri for Hands-Free Voice Control”, Available online at <http://venturebeat.com/2012/02/09/driving-app-waze-builds-its-own-siri-for-hands-free-voice-control/>, retrieved on Feb. 9, 2012, 4 pages. |
| Hashimoto, Yoshiyuki, “Simple Guide for iPhone Siri, Which Can Be Operated with Your Voice”, Shuwa System Co., Ltd., vol. 1, Jul. 5, 2012, pp. 8, 130, 131. |
| Headset Button Controller v7.3 APK Full APP Download for Android, Blackberry, iPhone, 11 pages. |
| Hear voice from Google translate, Available on URL:https://www.youtube.com/watch?v=18AvMhFqD28, Jan. 28, 2011, 1 page. |
| id3.org, “id3v2.4.0—Frames”, available at <http://id3.org/id3v2.4.0-frames?action=print>, retrieved on Jan. 22, 2015, 41 pages. |
| Interactive Voice, available at <http://www.helloivee.com/company/>, retrieved on Feb. 10, 2014, 2 pages. |
| Internation Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2016/025418, dated Dec. 21, 2017, 16 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/GB2009/051684, dated Jun. 23, 2011, 10 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2008/000042, dated Jul. 7, 2009, 6 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2008/000043, dated Jul. 7, 2009, 8 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2008/000047, dated Jul. 7, 2009, 8 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2009/051954, dated Mar. 24, 2011, 8 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2009/055577, completed on Aug. 6, 2010, 12 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2010/037378, dated Dec. 6, 2011, 9 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2011/020350, dated Jul. 17, 2012, 12 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2011/020825, dated Jan. 13, 2012, 17 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2011/020861, dated Aug. 2, 2012, 11 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2011/037014, dated Dec. 13, 2012, 10 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2012/029810, dated Oct. 3, 2013, 9 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2012/034028, dated Oct. 31, 2013, 7 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2012/040571, dated Dec. 19, 2013, 10 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2012/040801, dated Dec. 19, 2013, 16 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2012/040931, dated Dec. 18, 2014, 9 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2012/043098, dated Jan. 9, 2014, 8 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2012/043100, dated Jan. 9, 2014, 7 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2012/056382, dated Apr. 10, 2014, 9 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2013/028412, dated Sep. 12, 2014, 12 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2013/028920, dated Sep. 18, 2014, 11 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2013/029156, dated Sep. 9, 2014, 7 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2013/041225, dated Nov. 27, 2014, 9 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2013/041233, dated Nov. 18, 2014, 8 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2013/044574, dated Dec. 9, 2014, 8 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2013/044834, dated Dec. 9, 2014, 9 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2013/047659, dated Dec. 31, 2014, 15 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2013/047668, dated Jan. 8, 2015, 13 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2013/052558, dated Feb. 12, 2015, 12 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2013/058916, dated Mar. 19, 2015, 8 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2013/060121, dated Apr. 2, 2015, 6 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2014/015418, dated Aug. 20, 2015, 12 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2014/016988, dated Sep. 3, 2015, 8 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2014/023822, dated Sep. 24, 2015, 12 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2014/023826, dated Sep. 24, 2015, 9 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2014/026871, dated Sep. 24, 2015, 7 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2014/026873, dated Sep. 24, 2015, 9 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2014/028785, dated Sep. 24, 2015, 15 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2014/028950, dated Sep. 24, 2015, 8 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2014/029050, dated Sep. 24, 2015, 7 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2014/029562, dated Sep. 24, 2015, 16 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2014/040393, dated Dec. 8, 2015, 15 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2014/040394, dated Dec. 23, 2015, 7 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2014/040397, dated Dec. 17, 2015, 8 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2014/040401, dated Dec. 8, 2015, 6 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2014/040403 dated Dec. 23, 2015, 7 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2014/040961, dated Dec. 17, 2015, 20 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2014/041159, dated Dec. 17, 2015, 8 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2014/041173, dated Dec. 17, 2015, 9 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2014/049568, dated Feb. 18, 2016, 10 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2015/023089, dated Jan. 12, 2017, 12 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2015/023097, dated Jan. 12, 2017, 11 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2015/023593, dated Dec. 15, 2016, 12 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2015/029554, dated Dec. 29, 2016, 8 pages. |
| International Preliminary Report on Patentability Received for PCT Patent Application No. PCT/US2015/032470, dated Dec. 15, 2016, 9 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2015/032724, dated Dec. 15, 2016, 8 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2015/033051, dated Dec. 15, 2016, 10 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2015/047062, dated Mar. 9, 2017, 18 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2015/047064, dated Mar. 23, 2017, 9 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2015/047281, dated Apr. 13, 2017, 13 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2015/047553, dated Apr. 13, 2017, 7 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2015/047583, dated Apr. 13, 2017, 7 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2015/047584, dated Apr. 13, 2017, 7 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2015/053365, dated Dec. 14, 2017, 12 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2015/053366, dated Dec. 21, 2017, 10 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2016/021012, dated Sep. 21, 2017. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2016/021103, dated Sep. 21, 2017, 11 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2016/021104, dated Sep. 21, 2017, 11 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2016/021409, dated Sep. 21, 2017, 16 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2016/021410, dated Sep. 21, 2017, 12 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2016/024666, dated Dec. 7, 2017, 8 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2016/025407, dated Dec. 21, 2017, 17 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2016/025408, dated Dec. 21, 2017, 16 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2016/23312, dated Sep. 28, 2017, 5 pages. |
| International Search Report & Written Opinion received for PCT Patent Application No. PCT/US2016/021410, dated Jul. 26, 2016, 19 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/IB2016/001466, dated Feb. 17, 2017, 8 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US16/23312, dated Jun. 27, 2016, 7 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2007/026243, dated Mar. 31, 2008, 10 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2007/088872, dated May 8, 2008, 8 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2007/088873, dated May 8, 2008, 7 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2008/000032, dated Jun. 12, 2008, 7 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2008/000042, dated May 21, 2008, 7 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2008/000043, dated Oct. 10, 2008, 12 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2008/000045, dated Jun. 12, 2008, 7 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2008/000047, dated Sep. 11, 2008, 12 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2008/000059, dated Sep. 19, 2008, 18 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2008/000061, dated Jul. 1, 2008, 13 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2009/051954, dated Oct. 30, 2009, 10 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2009/055577, dated Jan. 26, 2010, 9 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2010/037378, dated Aug. 25, 2010, 14 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2011/020350, dated Jun. 30, 2011, 17 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2011/020825, dated Mar. 18, 2011, 9 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2011/020861, dated Nov. 29, 2011, 12 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2012/029810, dated Aug. 17, 2012, 11 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2012/034028, dated Jun. 11, 2012, 9 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2012/040571, dated Nov. 16, 2012, 14 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2012/040801, dated Oct. 22, 2012, 20 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2012/040931, dated Feb. 1, 2013, 4 pages (International Search Report only). |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2012/043098, dated Nov. 14, 2012, 9 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2012/043100, dated Nov. 15, 2012, 8 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2012/056382, dated Dec. 20, 2012, 11 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2013/028412, dated Sep. 26, 2013, 17 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2013/028920, dated Jun. 27, 2013, 14 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2013/029156, dated Jul. 15, 2013, 9 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2013/040971, dated Nov. 12, 2013, 11 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2013/041225, dated Aug. 23, 2013, 3 pages (International Search Report only). |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2013/044574, dated Sep. 27, 2013, 12 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2013/044834, dated Dec. 20, 2013, 13 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2013/047659, dated Jul. 7, 2014, 25 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2013/047668, dated Feb. 13, 2014, 17 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2013/052558, dated Jan. 30, 2014, 15 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2013/058916, dated Sep. 8, 2014, 10 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2013/060121, dated Dec. 6, 2013, 8 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2014/015418, dated Aug. 26, 2014, 17 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2014/016988, dated Apr. 29, 2014, 10 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2014/023822, dated Sep. 25, 2014, 14 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2014/023826, dated Oct. 9, 2014, 13 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2014/026871, dated Jul. 23, 2014, 9 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2014/026873, dated Jan. 5, 2015, 11 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2014/028785, dated Oct. 17, 2014, 23 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2014/028950, dated Nov. 25, 2014, 10 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2014/029050, dated Jul. 31, 2014, 9 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2014/029562, dated Sep. 18, 2014, 21 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2014/040393, dated Dec. 8, 2014, 23 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2014/040394, dated Aug. 8, 2014, 11 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2014/040397, dated Aug. 27, 2014, 12 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2014/040401, dated Sep. 4, 2014, 10 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2014/040403, dated Sep. 23, 2014, 9 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2014/040961, dated Mar. 10, 2015, 5 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2014/041159, dated Sep. 26, 2014, 10 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2014/041173, dated Sep. 10, 2014, 11 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2014/049568, dated Nov. 14, 2014, 12 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2014/053951, dated Dec. 8, 2014, 11 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2014/053957, dated Feb. 19, 2015, 11 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2014/053958, dated Feb. 19, 2015, 10 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2015/019320, dated Jul. 2, 2015, 14 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2015/019321, dated Jun. 3, 2015, 11 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2015/019322, dated Jun. 18, 2015, 16 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2015/023089, dated Aug. 20, 2015, 16 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2015/023097, dated Jul. 7, 2015, 15 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2015/023593, dated Aug. 14, 2015, 16 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2015/025188, dated Jun. 23, 2015, 11 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2015/029554, dated Jul. 16, 2015, 11 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2015/032470, dated Oct. 1, 2015, 13 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2015/032724, dated Jul. 27, 2015, 11 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2015/033051, dated Aug. 5, 2015, 14 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2015/047062, dated Jan. 13, 2016, 25 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2015/047064, dated Nov. 13, 2015, 13 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2015/047281, dated Dec. 17, 2015, 19 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2015/047553, dated Jan. 5, 2016, 10 pages. |
| International Search Report and Written opinion received for PCT Patent Application No. PCT/US2015/047583, dated Feb. 3, 2016, 11 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2015/047584, dated Nov. 9, 2015, 10 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2015/053365, dated Mar. 10, 2016, 20 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2015/053366, dated Apr. 26, 2016, 16 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2016/021012, dated Jun. 2, 2016, 15 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2016/021103, dated Jun. 8, 2016, 15 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2016/021104, dated Jun. 8, 2016, 15 pages. |
| International Search Report and Written opinion received for PCT Patent Application No. PCT/US2016/021409, dated May 26, 2016, 22 pages. |
| International Search report and Written Opinion received for PCT Patent Application No. PCT/US2016/024666, dated Jun. 10, 2016, 13 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2016/025404, dated Jun. 24, 2016, 21 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2016/025407, dated Jun. 23, 2016, 18 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2016/025408, dated Aug. 11, 2016, 19 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2016/025418, dated Jul. 1, 2016, 20 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2016/031059, dated Aug. 8, 2016, 11 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2016/031549, dated Aug. 5, 2016, 35 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2016/031550, dated Aug. 4, 2016, 13 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2016/035105, dated Aug. 29, 2016, 25 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2016/035107, dated Aug. 31, 2016, 26 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2016/035112, dated Aug. 22, 2016, 21 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2016/043005, dated Oct. 7, 2016, 17 pages. |
| International Search Report and Written Opinion Received for PCT Patent Application No. PCT/US2016/047184, dated Jan. 17, 2017, 22 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2016/047215, dated Oct. 24, 2016, 18 pages. |
| International Search Report and Written Opinion Received for PCT Patent Application No. PCT/US2016/051151, dated Nov. 22, 2016, 10 pages. |
| International Search Report and Written Opinion Received for PCT Patent Application No. PCT/US2016/051895, dated Nov. 18, 2016, 30 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2016/051927, dated Feb. 6, 2017, 17 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2016/052440, dated Jan. 19, 2017, 28 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2016/053313, dated Dec. 7, 2016, 23 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2016/053445, dated Dec. 6, 2016, 11 pages. |
| International Search Report and Written Opinion Received for PCT Patent Application No. PCT/US2016/054459, dated Dec. 29, 2016, 8 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2016/055914, dated Jan. 17, 2017, 10 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2016/056510, dated Jan. 9, 2017, 9 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2016/059158, dated Jan. 25, 2017, 11 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2016/059953, dated Mar. 10, 2017, 13 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2016/061917, dated Jan. 31, 2017, 19 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2016/064452, dated Feb. 16, 2017, 23 pages. |
| International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2017/019332, dated May 18, 2017, 9 pages. |
| International Search Report received for PCT Patent Application No. PCT/GB2009/051684, dated Mar. 12, 2010, 4 pages. |
| International Search Report received for PCT Patent Application No. PCT/US2011/037014, dated Oct. 4, 2011, 6 pages. |
| International Search Report received for PCT Patent Application No. PCT/US2013/041233, dated Nov. 22, 2013, 3 pages. |
| Invitation to Pay Additional Fee Received for PCT Patent Application No. PCT/US2016/047184, dated Dec. 6, 2016, 9 pages. |
| Invitation to Pay Additional Fee Received for PCT Patent Application No. PCT/US2016/051927, dated Nov. 15, 2016, 2 pages. |
| Invitation to Pay Additional Fee Received for PCT Patent Application No. PCT/US2016/052440, dated Nov. 15, 2016, 2 pages. |
| Invitation to Pay Additional Fee Received for PCT Patent Application No. PCT/US2016/059953, dated Dec. 29, 2016, 2pages. |
| Invitation to Pay Additional Fees and Partial International Search Report received for PCT Patent Application No. PCT/US2011/020350, dated Apr. 14, 2011, 5 pages. |
| Invitation to Pay Additional Fees and Partial International Search Report received for PCT Patent Application No. PCT/US2015/023089, dated Jun. 17, 2015, 7 pages. |
| Invitation to Pay Additional Fees received for PCT Application No. PCT/US2016/021410, dated Apr. 28, 2016, 2 pages. |
| Invitation to Pay Additional Fees received for PCT Patent Application No. PCT/US2008/000043, dated Jun. 27, 2008, 4 pages. |
| Invitation to Pay Additional Fees received for PCT Patent Application No. PCT/US2008/000047, dated Jul. 4, 2008, 4 pages. |
| Invitation to Pay Additional Fees received for PCT Patent Application No. PCT/US2011/037014, dated Aug. 2, 2011, 6 pages. |
| Invitation to Pay Additional Fees received for PCT Patent Application No. PCT/US2012/040801, dated Aug. 8, 2012, 2 pages. |
| Invitation to Pay Additional Fees received for PCT Patent Application No. PCT/US2013/047659, dated Feb. 27, 2014, 7 pages. |
| Invitation to Pay Additional Fees received for PCT Patent Application No. PCT/US2013/052558, dated Nov. 7, 2013, 6 pages. |
| Invitation to pay additional fees received for PCT Patent Application No. PCT/US2014/029562, dated Jul. 4, 2014, 7 pages. |
| Invitation to Pay Additional Fees received for PCT Patent Application No. PCT/US2014/040393, dated Sep. 17, 2014, 7 pages. |
| Invitation to Pay Additional Fees received for PCT Patent Application No. PCT/US2014/040961, dated Jan. 14, 2015, 3 pages. |
| Invitation to Pay Additional Fees received for PCT Patent Application No. PCT/US2015/047281, dated Oct. 8, 2015, 6 pages. |
| Invitation to Pay Additional Fees received for PCT Patent Application No. PCT/US2015/053366, dated Feb. 19, 2016, 8 pages. |
| Invitation to Pay Additional Fees received for PCT Patent Application No. PCT/US2016/025408, dated May 13, 2016, 2 pages. |
| Invitation to Pay Additional Fees received for PCT Patent Application No. PCT/US2014/028785, dated Jul. 4, 2014, 7 pages. |
| Invitation to pay additional fees received for the PCT Patent Application No. PCT/US2014/015418, dated May 26, 2014, 5 pages. |
| Iowegian International, “FIR Filter Properties, DSPGuru, Digital Signal Processing Central”, available at <http://www.dspguru.com/dsp/faq/fir/properties> retrieved on Jul. 28, 2010, 6 pages. |
| Jawaid et al., “Machine Translation with Significant Word Reordering and Rich Target-Side Morphology”, WDS'11 Proceedings of Contributed Papers, Part I, 2011, pp. 161-166. |
| Jiang et al., “A Syllable-based Name Transliteration System”, Proc. of the 2009 Named Entities Workshop, Aug. 7, 2009, pp. 96-99. |
| Jonsson et al, “Proximity-based Reminders Using Bluetooth”, 2014 IEEE International Conference on Pervasive Computing and Communications Demonstrations, 2014, pp. 151-153. |
| Jouvet et al., “Evaluating Grapheme-to-phoneme Converters in Automatic Speech Recognition Context”, IEEE,, 2012,, pp. 4821-4824. |
| Kane et al., “Slide Rule: Making Mobile Touch Screens Accessible to Blind People Using Multi-Touch Interaction Techniques”, ASSETS, Oct. 13-15, 2008, pp. 73-80. |
| Kazmucha, Allyson, “How to Send Map Locations Using iMessage”, iMore.com, Available at <http://www.imore.com/how-use-imessage-share-your-location-your-iphone>, Aug. 2, 2012, 6 pages. |
| Kickstarter, “Ivee Sleek: Wi-Fi Voice-Activated Assistant”, available at <https://www.kickstarter.com/projects/ivee/ivee-sleek-wi-fi-voice-activated-assistant>, retrieved on Feb. 10, 2014, 13 pages. |
| Knownav, “Knowledge Navigator”, YouTube Video available at <http://www.youtube.com/watch?v=QRH8eimU_20>, Apr. 29, 2008, 1 page. |
| Lewis, Cameron, “Task Ave for iPhone Review”, Mac Life, Available at <http://www.maclife.com/article/reviews/task_ave_iphone_review>, Mar. 3, 2011, 5 pages. |
| Mactech, “KeyStrokes 3.5 for Mac OS X Boosts Word Prediction”, available at <http://www.mactech.com/news/?p=1007129>, retrieved on Jan. 7, 2008, 3 pages. |
| Majeras, Wesley, “Cell Phone Accessibility for your Blind Child”, Retrieved from the Internet <URL:https://web.archive.org/web/20100210001100/https://nfb.org/images/nfb/publications/fr/fr28/3/fr280314.htm>, 2010, pp. 1-5. |
| Martins et al., “Extracting and Exploring the Geo-Temporal Semantics of Textual Resources”, Semantic Computing, IEEE International Conference, 2008, pp. 1-9. |
| Meet Ivee, Your Wi-Fi Voice Activated Assistant, available at <http://www.helloivee.com/>, retrieved on Feb. 10, 2014, 8 pages. |
| Mel Scale, Wikipedia the Free Encyclopedia, Last modified on Oct. 13, 2009 and retrieved on Jul. 28, 2010, available at <http://en.wikipedia.org/wiki/Mel_scale>, 2 pages. |
| Mhatre et al., “Donna Interactive Chat-bot acting as a Personal Assistant”, International Journal of Computer Applications (0975-8887), vol. 140, No. 10, Apr. 2016, 6 pages. |
| Miller, Chance, “Google Keyboard Updated with New Personalized Suggestions Feature”, available at <http://9to5google.com/2014/03/19/google-keyboard-updated-with-new-personalized-suggestions-feature/>, Mar. 19, 2014, 4 pages. |
| Minimum Phase, Wikipedia the free Encyclopedia, Last modified on Jan. 12, 2010 and retrieved on Jul. 28, 2010, available at <http://en.wikipedia.org/wiki/Minimum_phase>, 8 pages. |
| Mobile Speech Solutions, Mobile Accessibility, SVOX AG Product Information Sheet, available at <http://www.svox.com/site/bra840604/con782768/mob965831936.aSQ?osLang=1>, Sep. 27, 2012, 1 page. |
| Morrison, Jonathan, “iPhone 5 Siri Demo”, Online Available at <https://www.youtube.com/watch?v=_wHWwG5IhWc>, Sep. 21, 2012, 3 pages. |
| Morton, Philip, “Checking If an Element Is Hidden”, StackOverflow, Available at <http://stackoverflow.com/questions/178325/checking-if-an-element-is-hidden>, Oct. 7, 2008, 12 pages. |
| My Cool Aids, “What's New”, available at <http://www.mycoolaids.com/>, 2012, 1 page. |
| Myers, Brad A., “Shortcutter for Palm”, available at <http://www.cs.cmu.edu/˜pebbles/v5/shortcutter/palm/index.html>, retrieved on Jun. 18, 2014, 10 pages. |
| Nakazawa et al., “Detection and Labeling of Significant Scenes from TV program based on Twitter Analysis”, Proceedings of the 3rd Forum on Data Engineering and Information Management (deim 2011 proceedings), IEICE Data Engineering Technical Group. Available online at: http://db-event.jpn.org/deim2011/proceedings/pdf/f5-6.pdf, Feb. 28, 2011, 10 pages (Official Copy Only). (See Communication under 37 CFR § 1.98(a) (3)). |
| Naone, Erica, “TR10: Intelligent Software Assistant”, Technology Review, Mar.-Apr. 2009, 2 pages. |
| Navigli, Roberto, “Word Sense Disambiguation: A Survey”, ACM Computing Surveys, vol. 41, No. 2, Feb. 2009, 70 pages. |
| NDTV, “Sony SmartWatch 2 Launched in India for Rs. 14,990”, available at <http://gadgets.ndtv.com/others/news/sony-smartwatch-2-launched-in-india-for-rs-14990-420319>, Sep. 18, 2013, 4 pages. |
| Ng, Simon, “Google's Task List Now Comes to Iphone”, SimonBlog, Available at <http://www.simonblog.com/2009/02/04/googles-task-list-now-comes-to-iphone/>, Feb. 4, 2009, 33 pages. |
| Nozawa, Naoki et al., “iPhone 4S Perfect Manual”, vol. 1, First Edition, Nov. 11, 2011, 5 pages. |
| Osxdaily, “Get a List of Siri Commands Directly from Siri”, Available at <http://osxdaily.com/2013/02/05/list-siri-commands/>, Feb. 5, 2013, 15 pages. |
| Pan et al., “Natural Language Aided Visual Query Building for Complex Data Access”, In proceeding of: Proceedings of the Twenty-Second Conference on Innovative Applications of Artificial Intelligence, XP055114607, Jul. 11, 2010, pp. 1821-1826. |
| Pathak et al., “Privacy-preserving Speech Processing: Cryptographic and String-matching Frameworks Show Promise”, In: IEEE signal processing magazine, retrieved from <http://www.merl.com/publications/docs/TR2013-063.pdf>, Feb. 13, 2013, 16 pages. |
| Patra et al., “A Kernel-Based Approach for Biomedical Named Entity Recognition”, Scientific World Journal, vol. 2013, 2013, pp. 1-7. |
| Phoenix Solutions, Inc., “Declaration of Christopher Schmandt Regarding the MIT Galaxy System”, West Interactive Corp., A Delaware Corporation, Document 40, Jul. 2, 2010, 162 pages. |
| Powell, Josh, “Now You See Me . . . Show/Hide Performance”, available at http://www.learningjquery.com/2010/05/now-you-see-me-showhide-performance, May 4, 2010, 3 pages. |
| Routines, “SmartThings Support”, Available online at <https://web.archive.org/web/20151207165701/https://support.smartthings.com/hc/en-us/articles/205380034-Routines>, 2015, 2 pages. |
| Sarawagi, Sunita, “CRF Package Page”, available at <http://crf.sourceforge.net/>, retrieved on Apr. 6, 2011, 2 pages. |
| Simonite, Tom, “One Easy Way to Make Siri Smarter”, Technology Review, Oct. 18, 2011, 2 pages. |
| Speaker Recognition, Wikipedia, The Free Enclyclopedia, Nov. 2, 2010, 4 pages. |
| Spivack, Nova, “Sneak Preview of Siri—Part Two—Technical Foundations—Interview with Tom Gruber, CTO of Siri”, Online Available at <https://web.archive.org/web/20100114234454/http://www.twine.com/item/12vhy39k4-22m/interview-with-tom-gruber-of-siri>, Jan. 14, 2010, 5 pages. |
| SRI, “SRI Speech: Products: Software Development Kits: EduSpeak”, available at <http://web.archive.org/web/20090828084033/http://www.speechatsri.com/products/eduspeak>shtml, retrieved on Jun. 20, 2013, 2 pages. |
| Stent et al., “Geo-Centric Language Models for Local Business Voice Search”, AT&T Labs—Research, 2009, pp. 389-396. |
| Sullivan, Danny, “How Google Instant's Autocomplete Suggestions Work”, available at <http://searchengineland.com/how-google-instant-autocomplete-suggestions-work-62592>, Apr. 6, 2011, 12 pages. |
| Sundaram et al., “Latent Perceptual Mapping with Data-Driven Variable-Length Acoustic Units for Template-Based Speech Recognition”, ICASSP 2012, Mar. 2012, pp. 4125-4128. |
| TextnDrive, “Text'nDrive App Demo-Listen and Reply to your Messages by Voice while Driving!”, YouTube Video available at <http://www.youtube.com/watch?v=WaGfzoHsAMw>, Apr. 27, 2010, 1 page. |
| Tofel, Kevin C., “SpeakTolt: A Personal Assistant for Older iPhones, iPads”, Apple News, Tips and Reviews, Feb. 9, 2012, 7 pages. |
| Tucker, Joshua, “Too Lazy to Grab Your TV Remote? Use Siri Instead”, Engadget, Nov. 30, 2011, 8 pages. |
| Tur et al., “The CALO Meeting Assistant System”, IEEE Transactions on Audio, Speech and Language Processing, vol. 18, No. 6, Aug. 2010, pp. 1601-1611. |
| Tur et al., “The CALO Meeting Speech Recognition and Understanding System”, Proc. IEEE Spoken Language Technology Workshop, 2008, 4 pages. |
| Vlingo InCar, “Distracted Driving Solution with Vlingo InCar”, YouTube Video, Available online at <http://www.youtube.com/watch?v=Vqs8XfXxgz4>, Oct. 2010, 2 pages. |
| Vlingo, “Vlingo Launches Voice Enablement Application on Apple App Store”, Press Release, Dec. 3, 2008, 2 pages. |
| Vodafone Deutschland, “Samsung Galaxy S3 Tastatur Spracheingabe”, Available online at—“https://www.youtube.com/watch?v=6kOd6Gr8uFE”, Aug. 22, 2012, 1 page. |
| Voiceassist, “Send Text, Listen to and Send E-Mail by Voice”, YouTube Video, Available online at <http://www.youtube.com/watch?v=0tEU61nHHA4>, Jul. 30, 2009, 1 page. |
| VoiceontheGo, “Voice on the Go (BlackBerry)”, YouTube Video, available online at <http://www.youtube.com/watch?v=pJqpWgQS98w>, Jul. 27, 2009, 1 page. |
| Wikipedia, “Acoustic Model”, available at <http://en.wikipedia.org/wiki/AcousticModel>, retrieved on Sep. 14, 2011, 2 pages. |
| Wikipedia, “Language Model”, available at <http://en.wikipedia.org/wiki/Language_model>, retrieved on Sep. 14, 2011, 3 pages. |
| Wikipedia, “Speech Recognition”, available at <http://en.wikipedia.org/wiki/Speech_recognition>, retrieved on Sep. 14, 2011, 10 pages. |
| Wilson, Mark, “New iPod Shuffle Moves Buttons to Headphones, Adds Text to Speech”, available at <http://gizmodo.com/5167946/new-ipod-shuffle-moves-buttons-to-headphones-adds-text-to-speech>, Mar. 11, 2009, 13 pages. |
| X.AI, “How it Works”, May 2016, 6 pages. |
| Xiang et al., “Correcting Phoneme Recognition Errors in Learning Word Pronunciation through Speech Interaction”, Speech Communication, vol. 55, No. 1, Jan. 1, 2013, pp. 190-203. |
| Xu et al., “Speech-Based Interactive Games for Language Learning: Reading, Translation, and Question-Answering”, Computational Linguistics and Chinese Language Processing, vol. 14, No. 2, Jun. 2009, pp. 133-160. |
| Yan et al., “A Scalable Approach to Using DNN-Derived Features in GMM-HMM Based Acoustic Modeling for LVCSR”, InInterspeech, 2013, pp. 104-108. |
| Young et al., “The Hidden Information State model: A practical framework for POMDP-based spoken dialogue management”, Computer Speech & Language, vol. 24, Issue 2, 2010, pp. 150-174. |
| Youtube, “New bar search for Facebook”, Available at “https://www.youtube.com/watch?v=vwgN1WbvCas”, 1 page. |
| Zainab, “Google Input Tools Shows Onscreen Keyboard in Multiple Languages [Chrome]”, available at <http://www.addictivetips.com/internet-tips/google-input-tools-shows-multiple-language-onscreen-keyboards-chrome/>, Jan. 3, 2012, 3 pages. |
| Zangerle et al., “Recommending #-Tag in Twitter”, Proceedings of the Workshop on Semantic Adaptive Socail Web, 2011, pp. 1-12. |
| Zhang et al., “Research of Text Classification Model Based on Latent Semantic Analysis and Improved HS-SVM”, Intelligent Systems and Applications (ISA), 2010 2nd International Workshop, May 22-23, 2010, 5 pages. |
| Zhong et al., “JustSpeak: Enabling Universal Voice Control on Android”, W4A'14, Proceedings of the 11th Web for All Conference, No. 36, Apr. 7-9, 2014, 8 pages. |
| Office Action received for Australian Patent Application No. 2018200183, dated Nov. 28, 2018, 3 pages. |
| Extended European Search Report Received for European Patent Application No. 18150734.4, dated Mar. 9, 2018, 8 pages. |
| Selfridge et al, “Interact: Tightly-Coupling Multimodal Dialog with an Interactive Virtual Assistant”, International Conference on Multimodal Interaction, ACM, Nov. 9, 2015, pp. 381-382. |
| Notice of Allowance received for Japanese Patent Application No. 2018-001371, dated Jul. 22, 2019, 2 pages (1 page of English Translation and 1 page of Official Copy). |
| Notice of Allowance received for Korean Patent Application No. 10-2018-0002665, dated Jul. 11, 2019, 7 pages (2 pages of English Translation and 5 pages of Official Copy). |
| Office Action received for Australian Patent Application No. 2018200183, dated Sep. 25, 2019, 3 pages. |
| Office Action Received for European Patent Application No. 18150734.4, dated Sep. 12, 2019, 8 pages. |
| Office Action received for Korean Patent Application No. 10-2019-0122481, dated Dec. 19, 2019, 13 pages (6 pages of English Translation and 7 pages of Official Copy). |
| Office Action received for Korean Patent Application No. 10-2019-0122481, dated May 26, 2020, 8 pages (4 pages of English Translation and 4 pages of Official Copy). |
| Result of Consultation received for European Patent Application No. 18150734.4, mailed on Apr. 22, 2020, 3 pages. |
| Summons to Attend Oral Proceedings received for European Patent Application No. 18150734.4, mailed on May 4, 2020, 9 pages. |
| Notice of Acceptance received for Australian Patent Application No. 2018200183, dated Nov. 7, 2019, 3 pages. |
| Result of Consultation received for European Patent Application No. 18150734.4, mailed on Sep. 28, 2020, 9 pages. |
| Office Action received for Japanese Patent Application No. 2019-150880, dated Sep. 28, 2020, 10 pages (6 pages of English Translation and 4 pages of Official Copy). |
| Notice of Allowance received for Korean Patent Application No. 10-2019-0122481, dated Sep. 3, 2020, 5 pages (2 pages of English Translation and 3 pages of Official Copy). |
| Office Action received for Australian Patent Application No. 2020201175, dated Feb. 18, 2021, 5 pages. |
| Office Action received for Korean Patent Application No. 10-2020-0167762, dated Feb. 10, 2021, 9 pages (4 pages of English Translation and 5 pages of Official Copy). |
| Office Action received for Japanese Patent Application No. 2019-150880, dated Apr. 12, 2021, 5 pages (3 pages of English Translation and 2 pages of Official Copy). |
| Sugimoto Norihiko, “Important functions and intents of Android”, Apr. 22, 2009, 4 pages (Official copy only). {See Communication Under 37 CFR § 1.98(a) (3)}. |
| Office Action received for Chinese Patent Application No. 201810019395.8, dated Oct. 29, 2020, 16 pages (8 pages of English Translation and 8 pages of Official Copy). |
| Non-Final Office Action received for U.S. Appl. No. 16/595,962, dated Mar. 26, 2021, 17 pages. |
| Office Action received for Korean Patent Application No. 10-2018-0002665, dated Jan. 9, 2019, 9 pages (4 pages of English Translation and 5 pages of Official Copy). |
| Office Action received for Australian Patent Application No. 2018200183, dated May 24, 2019, 4 pages. |
| Office Action received for Chinese Patent Application No. 201810019395.8, dated May 12, 2021, 10 pages (4 pages of English Translation and 6 pages of Official Copy). |
| Applicant-Initiated Interview Summary received for U.S. Appl. No. 16/207,901, dated Oct. 7, 2019, 5 pages. |
| Brief Communication Regarding Oral Proceedings received for European Patent Application No. 16904828.7, dated Dec. 9, 2020, 2 pages. |
| Certificate of Examination received for Australian Patent Application No. 2017100586, dated Feb. 19, 2018, 2 pages. |
| Certificate of Examination received for Australian Patent Application No. 2017100636, dated Feb. 19, 2018, 2 pages. |
| Corrected Notice of Allowance received for U.S. Appl. No. 15/269,728, dated Sep. 27, 2018, 2 pages. |
| Decision to Grant received for Danish Patent Application No. PA201670564, dated Feb. 13, 2018, 2 pages. |
| Extended European Search Report (includes Supplementary European Search Report and Search Opinion) received for European Application No. 16904828.7, dated Mar. 19, 22019, 9 pages. |
| Extended European Search Report received for European Patent Application No. 20204718.9, dated Jan. 29, 2021, 10 pages. |
| Extended European Search Report received for European Patent Applicaton No. 21178575.3, dated Sep. 29, 2021, 8 pages. |
| Final Office Action received for U.S. Appl. No. 15/269,728, dated Mar. 8, 2018, 20 pages. |
| Intention to Grant received for Danish Patent Application No. PA201670564, dated Nov. 17, 2017, 3 pages. |
| Intention to Grant received for European Patent Application No. 16904828.7, dated Aug. 16, 2021, 8 pages. |
| Intention to Grant received for European Patent Application No. 16904828.7, dated Jan. 13, 2021, 6 pages. |
| International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2016/056510, dated Aug. 1, 2018, 59 pages. |
| Non Final Office Action received for U.S. Appl. No. 15/269,718, dated Aug. 15, 2017, 22 pages. |
| Non Final Office Action received for U.S. Appl. No. 15/269,728, dated May 4, 2018, 22 pages. |
| Non-Final Office Action Received for U.S. Appl. No. 16/207,901, dated Jun. 14, 2019, 17 pages. |
| Non-Final Office Action received for U.S. Appl. No. 16/737,100, dated Apr. 15, 2021, 14 pages. |
| Notice of Acceptance received for Australian Patent Application No. 2016409888, dated Feb. 27, 2020, 3 pages. |
| Notice of Acceptance received for Australian Patent Application No. 2020201175, dated Sep. 21, 2021, 3 pages. |
| Notice of Allowance received for Chinese Patent Application No. 201710386355.2, dated Mar. 1, 2021, 2 pages (1 page of English Translation and 1 page of Official Copy). |
| Notice of Allowance received for Chinese Patent Application No. 201710386931.3, dated Jun. 4, 2020, 8 pages (4 pages of English translation and 4 pages of Official Copy). |
| Notice of Allowance received for Chinese Patent Application No. 201710391849.X, dated Nov. 5, 2020, 2 pages (1 page of English translation and 1 page of Official Copy). |
| Notice of Allowance received for Chinese Patent Application No. 201710395240.X, dated Apr. 7, 2020, 5 pages (2 pages of English Translation and 3 pages of Official Copy). |
| Notice of Allowance received for Korean Patent Application No. 10-2018-7034288, dated Sep. 11, 2020, 4 pages (1 page of English Translation and 3 pages of Official Copy). |
| Notice of Allowance received for Korean Patent Application No. 10-2020-7035965, dated Jul. 29, 2021, 5 pages (2 pages of English Translation and 3 pages of Official Copy). |
| Notice of Allowance received for U.S. Appl. No. 15/269,728, dated Jan. 31, 2019, 11 pages. |
| Notice of Allowance received for U.S. Appl. No. 15/269,728, dated Sep. 13, 2018, 18 pages. |
| Notice of Allowance received for U.S. Appl. No. 16/207,901, dated Oct. 22, 2019, 10 pages. |
| Notice of Allowance received for U.S. Appl. No. 16/737,100, dated Jun. 11, 2021, 5 pages. |
| Office Action received for Australian Patent Application No. 2016409888, dated Aug. 16, 2019, 3 pages. |
| Office Action received for Australian Patent Application No. 2016409888, dated Dec. 13, 2019, 3 pages. |
| Office Action received for Australian Patent Application No. 2016409888, dated Feb. 20, 2019, 4 pages. |
| Office Action received for Australian Patent Application No. 2017100586, dated Aug. 18, 2017, 5 pages. |
| Office Action received for Australian Patent Application No. 2017100586, dated Feb. 8, 2018, 3 pages. |
| Office Action received for Australian Patent Application No. 2017100586, dated May 11, 2020, 5 pages. |
| Office Action received for Australian Patent Application No. 2017100586, dated Oct. 1, 2019, 3 pages. |
| Office Action received for Australian Patent Application No. 2017100586, dated Sep. 20, 2018, 7 pages. |
| Office Action received for Australian Patent Application No. 2017100363, dated Aug. 18, 2017, 4 pages. |
| Office Action received for Australian Patent Application No. 2017100636, dated Feb. 4, 2019, 4 pages. |
| Office Action received for Australian Patent Application No. 2017100636, dated Feb. 8, 2018, 3 pages. |
| Office Action received for Australian Patent Application No. 2017100636, dated May 11, 2020, 5 pages. |
| Office Action received for Australian Patent Application No. 2017000636, dated Oct. 1, 2019, 3 pages. |
| Office Action received for Australian Patent Application No. 2017100636, dated Sep. 20, 2008, 7 pages. |
| Office Action received for Australian Patent Application No. 2018100403, dated Jul. 30, 2018, 7 pages. |
| Office Action received for Australian Patent Application No. 2020202833, dated Apr. 29, 2021, 5 pages, |
| Office Action received for Chinese Patent Application No. 201710386355.2, dated Apr. 9, 2020, 15 pages (1 page of English Translation and 14 pages of Official Copy). |
| Office Action received for Chinese Patent Application No. 201710386355.5, dated Dec. 11, 2020, 15 pages (3 pages of English Translation and 6 pages of Official Copy). |
| Office Action received for Chinese Patent Application No. 201710386931.3, dated Apr. 16, 2019, 11 pages (5 pages of English Translation and 6 pages of Official Copy). |
| Office Action received for Chinese Patent Application No. 201710386931.3, dated Aug. 8, 2018, 11 pages (3 pages of English Translation and 8 pages of Official Copy). |
| Office Action received for Chinese Patent Application No. 201710386931.3, dated Dec. 3, 2019, 14 pages (7 pages of English Translation and 7 pages of Official Copy). |
| Office Action received for Chinese Patent Application No. 201710391849.x, dated Jan. 6, 2020, 19 pages (8 pages of English Translation and 11 pages of Official Copy). |
| Office Action received for Chinese Patent Application No. 201710391849.X, dated Jul. 27, 2020, 8 pages (5 pages of English Translation and 3 pages of Official Copy). |
| Office Action received for Chinese Patent Application No. 201710395240.X, dated Jul. 24, 2019, 18 pages (10 pages of English Translation and 8 pages of Official Copy). |
| Office Action received for Danish Patent Application No. PA201670540, dated May 1, 2018, 6 pages. |
| Office Action received for Danish Patent Application No. PA201670540, dated Apr. 25, 2017, 4 pages. |
| Office Action received for Danish Patent Application No. PA201670540, dated Nov. 3, 2017, 4 pages. |
| Office Action received for Danish Patent Application No. PA201670562, dated May 2, 2018, 4 pages. |
| Office Action received for Danish Patent Application No. PA201670562, dated May 8, 2017, 5 pages. |
| Office Action received for Danish Patent Application No. PA201670562, dated Nov. 17, 2017, 5 pages. |
| Office Action received for Danish Patent Application No. PA201670563, dated May 2, 2018, 7 pages. |
| Office Action received for Danish Patent Application No. PA201670563, dated May 8, 2017, 4 pages. |
| Office Action received for Danish Patent Application No. PA201670563, dated Nov. 30, 2017, 5 pages. |
| Office Action received for Danish Patent Application No. PA201670564, dated Apr. 25, 2017, 2 pages. |
| Office Action received for Danish Patent Application No. PA201670564, dated Oct. 13, 2016, 6 pages. |
| Office Action received for European Patent Application No. 16904828.7, dated Dec. 6, 2019, 7 pages. |
| Office Action received for European Patent Application No. 16904828.7, dated May 11, 2021, 7 pages. |
| Office Action received for Korean Patent Application No. 10-2018-7034288, dated Feb. 28, 2020, 11 pages (5 pages of English Translation and 6 pages of Official Copy). |
| Office Action received for Korean Patent Application No. 10-2020-7035965, dated Jan. 22, 2021, 5 pages (2 pages of English Translation and 3 pages of Official Copy). |
| Pre-Appeal Review Report received for Japanese Patent Application No. 2019-150880, dated Sep. 9, 2021, 5 pages (2 pages of English Translation and 3 pages of Official Copy) |
| Result of Consultation received for European Patent Application No. 16904828.7, dated Dec. 2, 2020, 8 pages. |
| Search Report and Opinion received for Danish Patent Application No. PA201670540, dated Oct. 20, 2016, 7 pages. |
| Search Report and Opinion received for Danish Patent Applicaton No, PA201670562, dated Oct. 12, 2016, 9 pages. |
| Search Report and Opinion received for Danish Patent Application No. PA201670563, dated Oct. 17, 2016, 6 pages. |
| Summons to Attend Oral Proceedings received for European Patent Application No. 16904828.7, dated Jul. 3, 2020, 7 pages. |
| Supplemental Notice of Allowance received for U.S. Appl. No. 16/737,100, dated Sep. 16, 2021, 2 pages. |
| Number | Date | Country | |
|---|---|---|---|
| 20180196683 A1 | Jul 2018 | US |
| Number | Date | Country | |
|---|---|---|---|
| 62444162 | Jan 2017 | US |
